July 17, 2006 (Monday)

Session MonAM-1: Neural Hardware I
Monday, July 17, 8:00AM-10:00AM, Room: Gulf Islands BCD
Time
Paper ID
Title/Author
8:00am
1563
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
Johannes Schemmel, Andreas Gruebl, Karlheinz Meier and Eilif Mueller
8:20am
1778
Active Binocular Gaze Control Inspired by Superior Colliculus
Eric K. C. Tsang and Bertram E. Shi
8:40am
1259
A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering
Ocean Y. H. Cheung, Philip H. W. Leong, Eric K. C. Tsang and Bertram E. Shi
9:00am
1795
Training Convolutional Networks of Threshold Neurons Suited for Low-power Hardware Implementation
Johannes Fieres, Johannes Schemmel and Karlheinz Meier
9:20am
1445
Local Cluster Neural Network On-chip Training
Liang Zhang and Joaquin Sitte
9:40am
1649
A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization
Ming Zhang, Ming Seow and Vijayan Asari

Session MonAM-2: Reinforcement Learning Theory I
Monday, July 17, 8:00AM-10:00AM, Room: Junior Ballroom A
Time
Paper ID
Title/Author
8:00am
1548
Dynamic Exploration in Q(lambda)-learning
Jelmer van Ast and Robert Babuska
8:20am
1372
Global Reinforcement Learning in Neural Networks with Stochastic Synapses
Xiaolong Ma and Konstantin Likharev
8:40am
1316
Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations
Takeuchi Johane, Shouno Osamu and Tsujino Hiroshi
9:00am
1923
Qualitative Adaptive Critics
Thaddeus Shannon
9:20am
1668
Aggregation of Reinforcement Learning Algorithms
Ju Jiang and Mohamed Kamel
9:40am
1759
Reinforcement Learning for Parameterized Motor Primitives
Jan Peters and Stefan Schaal

Session MonAM-3: Neuroinformatics
Monday, July 17, 8:00AM-10:00AM, Room: Junior Ballroom B
Time
Paper ID
Title/Author
8:00am
1898
Event Modeling of Message Interchange in Stochastic Neural Ensembles
Vicen Gomez, Andreas Kaltenbrunner and Vicente Lopez
8:20am
1405
Venn-like Models of Neo-cortex Patches
Fernando Buarque de Lima Neto and Philippe De Wilde
8:40am
1654
Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia
Antony Browne and Angela Jakary
9:00am
1648
An Analytic Solution of the Reentrant Poission Master Equation and its Application in the Simulation of Large Groups of Spiking Neurons
Marc de Kamps
9:20am
1306
Modeling Cortical Maps with Feed-Backs
Thierry Vieville and Pierre Kornprobst
9:40am
1610
Simulation of Young Neocortical Networks by Spatially Coupled Oscillators
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima and Thomas Voigt

Session MonAM-4: Learning in Kernel Methods
Monday, July 17, 8:00AM-10:00AM, Room: Junior Ballroom C
Time
Paper ID
Title/Author
8:00am
1729
Learning to Rank by Maximizing AUC with Linear Programming
Kaan Ataman, Nick Street and Yi Zhang
8:20am
1847
A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine
Olutayo Oladunni and Theodore Trafalis
8:40am
1629
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods
Carlos Alzate and Johan A. K. Suykens
9:00am
1830
Sparse Optimization for Second Order Kernel Methods
Roland Vollgraf and Klaus Obermayer
9:20am
1589
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator
Ichiro Takeuchi, Kaname Nomura and Takafumi Kanamori
9:40am
1880
Greedy forward selection algorithms to Sparse Gaussian Process Regression
Ping Sun and Xin Yao

Session MonAM-5: Sh: Neural Modeling of Emotion
Monday, July 17, 8:00AM-10:00AM, Room: Junior Ballroom D
Time
Paper ID
Title/Author
8:00am
1766
Recognizing Human Emotion From Partial Facial Features
Jia Jun Wong and Siu Yeung Cho
8:20am
1946
A Neural Model of the Enhancement of Perception Caused by Emotional Cues
Nickolaos Fragopanagos, Nienke Korsten and John Taylor
8:40am
2008
Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools
Bing Lu, Walter M. Yamada and Theodore W. Berger
9:00am
2027
Top-Down Cortical Influences in Visual Expectation
Steven L Bressler, Craig G Richter, Yonghong Chen and Mingzhou Ding
9:20am
-
Emotions and Language
Leonid Perlovsky
9:40am
1992
Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations
Daniel Levine

Session MonAM-6: S4: Computational Intelligence Based on Lattice Theory- Logic I
Monday, July 17, 8:00AM-10:00AM, Room: Parksville, Chair: Vassilis Kaburlasos
Time
Paper ID
Title/Author
8:00am
4015
An Implication in Fuzzy Sets
Anestis Hatzimichailidis, Vassilis Kaburlasos and Basil Papadopoulos
8:20am
4339
Learning In Lattice Neural Networks That Employ Dendritic Computing
Gerhard Ritter and Mark Schmalz
8:40am
4534
Default values to handle Incomplete Fuzzy Information
Susana Munoz-Hernandez and Claudio Vaucheret
9:00am
4318
T-Norms on Bounded Lattices: t-norm morphisms and operators
Benjamin Rene Callejas Bedregal, Helida Salles Santos and Roberto Callejas-Bedregal
9:20am
4420
Air quality assessment using Fuzzy Lattice Reasoning (FLR)
Ioannis N. Athanasiadis and Vassilis Kaburlasos
9:40am
4436
Intuitionistic Fuzzy Set Functions, Mass Assignment Theory, Possibility Theory and Histograms
Eulalia Szmidt and Jim Baldwin

Session MonAM-7: Fuzzy Clustering I
Monday, July 17, 8:00AM-10:00AM, Room: Pavilion Ballroom A, Chair: Rudolf Kruse

Time
Paper ID
Title/Author
8:00am
4255
A New Cluster Validity Index for Fuzzy Clustering based on Combination of Dual Triples
Carl Frelicot, Laurent Mascarilla and Michel Berthier
8:20am
4326
Finding the Number of Fuzzy Clusters by Resampling
Christian Borgelt and Rudolf Kruse
8:40am
4437
Fuzzy Clustering Algorithms for Symbolic Interval Data based on L2 Norm
Francisco De Carvalho and Nicomedes Cavalcanti Junior
9:00am
4117
Kernel Based Fuzzy Ant Clustering with Partition validity
Yuhua Gu and Lawrence Hall
9:20am
4289
Rule Visualization based on Multi-Dimensional Scaling
Thomas Gabriel, Kilian Thiel and Michael Berthold
9:40am
4479
Unsupervised Image Segmentation and Annotation for Content-Based Image Retrieval
Hichem Frigui and Joshua Caudill

Session MonAM-8: S9: Fuzzy Control & Systems Modeling: Recent Progresses & Future Directions I
Monday, July 17, 8:00AM-10:00AM, Room: Pavilion Ballroom B, Chair: Xiao-Jun Zeng
Time
Paper ID
Title/Author
8:00am
4402
Application of Competitive Clustering to Acquisition of Human Manipulation Skills Acquisition
Shen Dong and Fazel Naghdy
8:20am
4064
Intelligent Tracking Control for Duffing Oscillator Using a Self-Organizing Fuzzy Neural Network
Te-Yu Chen, Chun-Fei Hsu, Tsu-Tian Lee, Fu-Shan Ding and Chih-Hui Chiu
8:40am
4338
Design of Fuzzy Regulators with Optimal Initial Conditions Compensation
M. C. M. Teixeira, N. A. P. Silva, E. Assuncao and E. R. M. D. Machado
9:00am
4085
Learning for Hierarchical Fuzzy Systems Based on the Gradient-Descent Method
Di Wang, Xiao-Jun Zeng and John A. Keane
9:20am
4023
A Novel Reinforcement Learning Approach for Automatic Generation of Fuzzy Inference Systems
Meng Joo Er and Yi Zhou
9:40am
4183
Ideal Analytical Structure of Simplest Fuzzy PD Controller Using Mamdani Reasoning and COA Defuzzification
Rakesh Kumar Arya, R. Mitra and Vijay Kumar

Session MonAM-9: Z7: Constrained Real Parameter Optimization I
Monday, July 17, 8:00AM-10:00AM, Room: Pavilion Ballroom C, Chair: Ponnuthurai Suganthan
Time
Paper ID
Title/Author
8:00am
-
Introduction by Session Chairs
Ponnuthurai Suganthan
8:20am
7470
Constrained Optimization by the epsilon Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites
Tetsuyuki Takahama and Sakai Setsuko
8:40am
7489
Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism
J. J. Liang and P. N. Suganthan
9:00am
7569
Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization
V. L. Huang, A. K. Qin and P. N. Suganthan
9:20am
7551
Modified Differential Evolution for Constrained Optimization
Efren Mezura-Montes, Jesus Velazquez-Reyes and Carlos A. Coello Coello
9:40am
7502
A Multi-Populated Differential Evolution Algorithm for Solving Constrained Optimization Problems
Mehmet Fatih Tasgetiren and Ponnuthurai Nagaratnam Suganthan

Session MonAM-10: Optimization Applications
Monday, July 17, 8:00AM-10:00AM, Room: Pavilion Ballroom D
Time
Paper ID
Title/Author
8:00am
7610
Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms
Thomas Bartz-Beielstein, Annette Chmielewski, Michael Janas, Boris Naujoks and Robert Scheffermann
8:20am
7266
A Grid-based Ant Colony Algorithm for Automatic 3D Hose Routing
Gishantha Indunil Fernando Thantulage, Tatiana Kalganova and W.A.C. Fernando
8:40am
7262
Office Layout Support System using Interactive Genetic Algorithm
Toyohisa Nakajima, Satoshi Hashimoto, Kazunori Haruyama, Taro Nakamura and Yuko Osana
9:00am
7004
Optimized Memory Assignment for DSPs
Gary Grewal, Stelian Coros, Dilip Banerji and Andrew Morton
9:20am
7535
Distributed Optimization using Ant Colony Optimization in a Concrete Delivery Supply
Jorge Faria, Carlos Silva, Joao Sousa, Michele Surico and Uzay Kaymak
9:40am
7593
Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem
Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama and Masahiro Hiji

Session MonAM-11: Evolutionary Computation Theory I
Monday, July 17, 8:00AM-10:00AM, Room: Orca
Time
Paper ID
Title/Author
8:00am
7617
Emergent Behaviour, Population-based Search and Low-pass Filtering
Riccardo Poli, Wright Alden, McPhee Nicholas and Langdon William
8:20am
7275
An Updated Taxonomy of Evolutionary Computation Problems using Graph-based Evolutionary Algorithms
Daniel Ashlock, Kenneth Bryden, Steven Corns and Justin Schonfeld
8:40am
7479
Weighted Multirecombination Evolution Strategies on the Parabolic Ridge
Dirk V. Arnold and Darren MacDonald
9:00am
7663
Kolmogorov complexity Optimization and Hardness
Yossi Borenstein and Riccardo Poli
9:20am
7501
Analysis of Scalable Parallel Evolutionary Algorithms
Jun He and Xin Yao
9:40am
7604
Benefits of a Periodic Selection Event in Evolutionary Strategy Algorithms
John Nicholson and Mark White

Session MonAM-12: Zi: Evolutionary Design
Monday, July 17, 8:00AM-10:00AM, Room: Finback, Chair: Ian Parmee
Time
Paper ID
Title/Author
8:00am
7116
A Novel Genetic Algorithm for Evolvable Hardware
Emanuele Stomeo, Tatiana Kalganova and Cyrille Lambert
8:20am
7766
Enhancement of the Variable-Length-Transmission-Line Design Method for Multi-point Optimization
Naoki Koizumi, Ikuo Yoshihara, Kunihito Yamamori and Moritoshi Yasunaga
8:40am
7584
Trusted Evolutionary Algorithm
Dudy Lim, Yew-Soon Ong, Yaochu Jin and Bernhard Sendhoff
9:00am
7008
The Particle Swarm Interval Rule Optimizer with an Application to Drug Design Data
Juergen Paetz
9:20am
7416
Evacuation Planning via Evolutionary Computation
Aaron Garrett, Brian Carnahan, Rani Muhdi, Jerry Davis and Gerry Dozier
9:40am
7656
Integrating Aesthetic Criteria with Evolutionary Processes in Complex, Free-form Design - An Initial Investigation
Azahar Machwe and Ian Parmee

Session MonAM-13: Z3: Evolutionary Computation in Cryptology & Computer Security
Monday, July 17, 8:00AM-10:00AM, Room: Port Hardy, Chair: John Clark
Time
Paper ID
Title/Author
8:00am
7572
Detecting Hidden Information from a Spread Spectrum Watermarked Signal by Genetic Algorithm
Saeed Sedghi, Habib Rajabi Mashhadi and Khademi Morteza
8:20am
7305
Collective Behaviour of Rules for Cellular Automata-based Stream Ciphers
Miroslaw Szaban, Franciszek Seredynski and Pascal Bouvry
8:40am
7010
Dynamic Selection of Optimal Cryptographic Algorithms in a Runtime Environment
Jalal Raissi
9:00am
7410
Wheedham: An Automatically Designed Block Cipher by means of Genetic Programming
Julio Hernandez-Castro, Juan Estevez-Tapiador, Arturo Ribagorda-Garnacho and Benjamin Ramos-Alvarez
9:20am
7145
Cryptanalysis of Simple Ciphers Using Scatter Search
Mohamed A. Garici and Habiba Drias
9:40am
7590
Fusing Natural Computational Paradigms for Cryptanalysis. Or, Using Heuristic Search to Bring Cryptanalysis Problems within Quantum Computational Range
John A Clark and Susan Stepney

Session MonAM-14: S5/S7: Computational Intelligence for Intelligent Agent Technology & Biologicall
Monday, July 17, 8:00AM-10:00AM, Room: Port Alberni , Chair: Raymond Lee

Time
Paper ID
Title/Author
8:00am
4366
Can Artificial Life Emerge in a Network of Interacting Agents?
Venu Murthy and Ed Krishnamurthy
8:20am
4215
A Goal-oriented Approach to Goal Selection and Action Selection
Zhiqi Shen, Chunyan Miao, Yuan Miao, Xuehong Tao and Robert Gay
8:40am
4284
The Role of Spiking Neurons for Visual Perception of A Partner Robot
Naoyuki Kubota and Kenichiro Nishida
9:00am
4177
Cross-reference Detection Algorithm for the Real surveillance Systems Based-on Fuzzy Corresponding Map
Masatoshi Makino, Yutaka Hatakeyama and Kaoru Hirota
9:20am
4514
Reinforcement Learning of Agent with a Staged View in Distance and Direction for the Pursuit Problem
Tadayoshi Yamamura, Motohide Umano and Kazuhisa Seta
9:40am
4524
Learning by Switching Knowledge Representations---Limiting the Number of Stored Data
Yuji Matsumoto, Motohide Umano, Masahiro Tomaru and Kazuhisa Seta

Session MonAM-15: Commercial & Financial Applications
Monday, July 17, 8:00AM-10:00AM, Room: Port McNeill, Chair: Jorge Casillas

Time
Paper ID
Title/Author
8:00am
4300
Fuzzy Ranking of Financial Statements for Fraud Detection
Wei Chai, Bethany Hoogs and Benjamin Verschueren
8:20am
4545
Credibility Based Fuzzy Portfolio Selection
Xiaoxia Huang
8:40am
4421
A Fuzzy Multi-Criteria Decision Making Model for Supplier Rating
Hsuan-Shih Lee and Kuang Lin
9:00am
4483
Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models
Jorge Casillas and Luciano Sanchez
9:20am
4045
Software Effort Estimation and Stock Market Prediction Using Takagi-Sugeno Fuzzy Models
Alaa Sheta
9:40am
4458
A Parametrization of Fuzzy Numbers for Fuzzy Calculus and Application to the Fuzzy Blach-Scholes Option Pricing
Luciano Stefanini, Maria Letizia Guerra and Laerte Sorini

Session MonMM-1: S3: Complex-Valued Neural Networks I
Monday, July 17, 1:00PM-3:00PM, Room: Gulf Islands BCD
Time
Paper ID
Title/Author
1:00pm
1618
A Study on Learning with a Quantum Neural Network
Mitsunaga Kinjo, Shigeo Sato and Koji Nakajima
1:20pm
1007
Energy Spectrum of Quantum Associative Memories
Gerasimos Rigatos
1:40pm
1910
Models of Self-Correlation Type Complex-Valued Associative Memories and Their Performance Comparison
Yasuaki Kuroe and Yuriko Taniguchi
2:00pm
1775
Fundamental Properties of Quaternionic Hopfield Neural Network
Teijiro Isokawa, Haruhiko Nishimura, Kamiura Naotake and Nobuyuki Matsui
2:20pm
1873
Qubit Inspired Neural Network towards Its Practical Applications
Katsuhiro Mori, Teijiro Isokawa, Noriaki Kouda, Nobuyuki Matsui and Haruhiko Nishimura
2:40pm
2079
Interpolation and Learning in Quadratic Neural Networks
George Georgiou

Session MonMM-2: Reinforcement Learning Theory II
Monday, July 17, 1:00PM-3:00PM, Room: Junior Ballroom A
Time
Paper ID
Title/Author
1:00pm
1975
Learning a Rendezvous Task with Dynamic Joint Action Perception
Nancy Fulda and Dan Ventura
1:20pm
1686
Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning
Mohammad Azar, Majid Nili Ahamadabadi, Amir Massoud Farahmand and Babak Nadjar Araabi
1:40pm
1906
Hierarchical Chunking during Learning of Visuomotor Sequences
Krishna Miyapuram, Raju Bapi, Chandrasekhar Pammi, Ahmed Ahmed and Kenji Doya
2:00pm
1697
Opposition-Based Q(lambda) Algorithm
Maryam Shokri, Hamid R. Tizhoosh and Mohamed Kamel
2:20pm
1612
Training Coordination Proxy Agents
Myriam Abramson, William Chao and Ranjeev Mittu
2:40pm
1800
Learning using Dynamical Regime Identification and Synchronization
Nicolas Brodu

Session MonMM-3: Neuroscience & Computational Neuroscience I
Monday, July 17, 1:00PM-3:00PM, Room: Junior Ballroom B
Time
Paper ID
Title/Author
1:00pm
2093
Failure Modes in Feedback Error Learning
Abraham K. Ishihara, Johan van Doornik and Terence D. Sanger
1:20pm
1655
Cliques in Neural Ensembles as Perception Carriers
Karina Odinaev, Igal Raichelgauz and Yehoshua Y. Zeevi
1:40pm
1808
Neural Network Model of Context-dependent Neuronal Activity in Inferotemporal Cortex
Atsuo Suemitsu and Masahiko Morita
2:00pm
1291
A Neural Network Model of the Connectivity of the Biological Somatic Sensors
Alan Rosen and David Rosen
2:20pm
1939
On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts
Rolf Eckmiller, Oliver Baruth and Dirk Neumann
2:40pm
1242
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks
Lennart Gustafsson and Andrew P Paplinski

Session MonMM-4: Support Vector Machines & Kernel Methods I
Monday, July 17, 1:00PM-3:00PM, Room: Junior Ballroom C
Time
Paper ID
Title/Author
1:00pm
1504
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error
Masayuki Karasuyama, Daisuke Kitakoshi and Ryohei Nakano
1:20pm
1695
Implementing Multi-class Classifiers by One-class Classification Methods
Tao Ban and Shigeo Abe
1:40pm
2032
An Inexact Penalty Method for the Semiparametric Support Vector Machine Classifier
Tze Huei Lai, Mani Nallasamy and Palaniswami Marimuthu
2:00pm
1290
Parallel Implementation of Gradient-Based Neural Networks for SVM Training
Leonardo Ferreira, Eugenius Kaszkurewicz and Amit Bhaya
2:20pm
2086
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning
Stefan Lessmann, Sven F. Crone, Robert Stahlbock and Nikolaus Zacher
2:40pm
1809
Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression
Jun Guo, Norikazu Takahashi and Tetsuo Nishi

Session MonMM-5: Sf: Neurodynamics of Higher-Level Cognitive Behavior I
Monday, July 17, 1:00PM-3:00PM, Room: Junior Ballroom D
Time
Paper ID
Title/Author
1:00pm
1927
Modeling the Evolution of Decision Rules in the Human Brain
Daniel Levine
1:20pm
1115
Exploration of Relations Between Many-body Field Theory and the Nonlinear Brain Dynamics that Underlies Cognitive Behavior
Walter Freeman and Giuseppe Vitiello
1:40pm
1158
Neural Dynamic Logic of Consciousness: the Knowledge Instinct
Leonid Perlovsky
2:00pm
-
Sf Panel I
Robert Kozma
2:20pm
-
Sf Panel II
Robert Kozma
2:40pm
-
Sf Panel III
Robert Kozma

Session MonMM-6: S4: Computational Intelligence Based on Lattice Theory- Modeling II
Monday, July 17, 1:00PM-3:00PM, Room: Parksville, Chair: Vassilis Kaburlasos

Time
Paper ID
Title/Author
1:00pm
4487
Noise Masking for Pattern Recall using a Single Lattice Matrix Auto-Associative Memory
Gonzalo Urcid and Gerhard X. Ritter
1:20pm
4052
Granular Auto-regressive Moving Average (grARMA) Model for Predicting a Distribution from Other Distributions. Real-world applications
Vassilis G. Kaburlasos and Achilleas Christoforidis
1:40pm
4316
Generalized Lattices Express Parallel Distributed Concept Learning
Michael Healy and Thomas Caudell
2:00pm
4303
Recall of Patterns Using Morphological and Certain Fuzzy Morphological Associative Memories with Applications in Classification and Prediction
Peter Sussner and Marcos Eduardo Valle
2:20pm
4347
Valuations on Lattices and their Application to Information Theory
Kevin Knuth
2:40pm
4466
Convex Coordinates Based on Lattice Independent Sets as Pattern Features
Manuel Grana, Ramon Moreno and Francisco Albizuri

Session MonMM-7: Fuzzy Clustering II
Monday, July 17, 1:00PM-3:00PM, Room: Pavilion Ballroom A, Chair: Hisao Ishibuchi

Time
Paper ID
Title/Author
1:00pm
4211
A Modified Fuzzy K-means Clustering using Expectation Maximization
Sara Nasser, Rawan Alkhaldi and Gregory Vert
1:20pm
4485
Adaptive Silhouette Extraction in Dynamic Environments Using Fuzzy Logic
Xi Chen, Zhihai (Henry) He, James Keller, Derek Anderson and Marjorie Skubic
1:40pm
4275
An Online Fuzzy Approach to the Structural Analysis of Handwritten Mathematical Expressions
Ray Genoe, John A. Fitzgerald and Tahar Kechadi
2:00pm
4522
A Cost-Based Fuzzy Rule-Based System for Pattern Classification Problems
Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer and Hisao Ishibuchi
2:20pm
4422
Fuzzy Object Localization Based on Directional (and Distance) Information
Xin Wang, JingBo Ni and Pascal Matsakis
2:40pm
4510
Fuzzy Subspace Clustering Algorithm and Applications to Blind Signal Separation
Pando Georgiev, Anca Ralescu and Dan Ralescu

Session MonMM-8: S9: Fuzzy Control & Systems Modeling: Recent Progresses & Future Directions II
Monday, July 17, 1:00PM-3:00PM, Room: Pavilion Ballroom B, Chair: Gang Feng

Time
Paper ID
Title/Author
1:00pm
4154
Fuzzy Neural Identification by Online Clustering with Application on Crude Oil Blending
Wen Yu and Xiaoou Li
1:20pm
4341
Fuzzy Systems Approach to Approximation and Stabilization of Conventional Affine Nonlinear Systems
Xiao-Jun Zeng, John Keane and Di Wang
1:40pm
4354
Switching Fuzzy Model-based Control for Dynamical Systems with Input Nonlinearity
Hiroshi Ohtake, Kazuo Tanaka and Hua Wang
2:00pm
4101
Learning of Grasp Behaviors for an Artificial Hand by Time Clustering and Takagi-Sugeno Modeling
Rainer Palm and Boyko Iliev
2:20pm
4035
Observer based Fuzzy Integral Model Predictive Control using Piecewise Lyapunov Functions
Tiejun Zhang, Gang Feng and Jianhong Lu
2:40pm
4409
Coherence of Radial Implicative Fuzzy Systems
David Coufal

Session MonMM-9: Z7: Constrained Real Parameter Optimization II
Monday, July 17, 1:00PM-3:00PM, Room: Pavilion Ballroom C, Chair: Ponnuthurai Suganthan

Time
Paper ID
Title/Author
1:00pm
7653
Constrained Real-Parameter Optimization with Generalized Differential Evolution
Saku Kukkonen and Jouni Lampinen
1:20pm
7269
Self-Adaptive Differential Evolution Algorithm in Constrained Real-Parameter Optimization
Janez Brest, Viljem Zumer and Mirjam Sepesy Maucec
1:40pm
7292
Constrained Single-Objective Optimization Using Differential Evolution
Karin Zielinski and Rainer Laur
2:00pm
7513
PESO+ for Constrained Optimization
Angel Munoz-Zavala, Arturo Hernandez-Aguirre, Enrique Villa-Diharce and Salvador Botello-Rionda
2:20pm
7708
A Population-Based, Parent Centric Procedure for Constrained Real-Parameter Optimization
Ankur Sinha, Aravind Srinivasan and Kalyanmoy Deb
2:40pm
7058
A Self Adaptive Penalty Function Based Algorithm for Constrained Optimization
Biruk Tessema and Gary Yen

Session MonMM-10: Evoving Learning Systems
Monday, July 17, 1:00PM-3:00PM, Room: Pavilion Ballroom D

Time
Paper ID
Title/Author
1:00pm
7161
Evolving a Learning Machine by Genetic Programming
Eva Alfaro-Cid, Ken Sharman and Anna I. Esparcia-Alcazar
1:20pm
7141
Genetic Complementary Learning for Translation Initialization Sites Prediction
Tuan Zea Tan, Geok See Ng and Chai Quek
1:40pm
7562
Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection
Huanhuan Chen and Xin Yao
2:00pm
7580
Hybrid Behavior Co-evolution and Structure Learning in Behavior-based Systems
Amir massoud Farahmand, Majid Nili Ahmadabadi, Caro Lucas and Babak Araabi
2:20pm
7738
Using an Evolvable Hardware Approach to Accelerate the Evolution of Neural Network Modules
Hugo de Garis, Jing Hu, Janusz Wojtusiak, Sanyou Zeng and Xuesong Yan

Session MonMM-11: Evolutionary Computation Theory II
Monday, July 17, 1:00PM-3:00PM, Room: Orca

Time
Paper ID
Title/Author
1:00pm
7618
Why Simulation-Based Approachs with Combined Fitness are a Good Approach for Mining Spaces of Turing-equivalent Functions
Olivier Teytaud
1:20pm
7414
Using Optimal Control Principles to Adapt Evolution Strategies
Burcin Aktan, Garrison Greenwood and Molly Shor
1:40pm
7310
Changes in Prisoner's Dilemma Strategies Over Evolutionary Time With Different Population Sizes
Wendy Ashlock and Daniel Ashlock
2:00pm
7437
On Nonlinear Fitness Functions for Ranking-Based Selection
Vinicius Silva, Andre da Cruz, Eduardo Carrano, Frederico Guimaraes and Takahashi Ricardo
2:20pm
7016
A Bivariate Marginal Distribution Genetic Model
Marco Carpentieri
2:40pm
7326
Using Very Small Population Sizes in Genetic Programming
Wendy Ashlock

Session MonMM-12: Evolutionary Design
Monday, July 17, 1:00PM-3:00PM, Room: Finback

Time
Paper ID
Title/Author
1:00pm
7509
A New Multi-Criteria Mechatronic Design Methodology Using Niching Genetic Algorithm
Saeed Behbahani and Clarence De Silva
1:20pm
7404
Improving Design Diversity Using Graph Based Evolutionary Algorithms
Steven Corns, Daniel Ashlock, Douglas McCorkle and Mark Bryden
1:40pm
7385
A Representation for Genetic-Algorithm-Based Multiprocessor Task Scheduling
Mehdi Salmani Jelodar, Najmeh Fakhraie, Faeze Montazeri, S. Mehdi Fakhraie and Majid Nili Ahmadabadi
2:00pm
7195
The Stag Hunt: A Vehicle for Evolutionary Cooperation
Matthew Nokleby and Wynn Stirling
2:20pm
7753
The Y-Test: Fairly Comparing Experimental Setups with Unequal Effort
Steffen Christensen and Franz Oppacher
2:40pm
7777
An Incremental-Evolutionary Approach for Learning Deterministic Finite Automata
Jonatan Gomez

Session MonMM-13: S2: Biometrics: Algorithms, Architectures & Applications I
Monday, July 17, 1:00PM-3:00PM, Room: Port Hardy
Time
Paper ID
Title/Author
1:00pm
-
An Overview of Biometrics I
Dean Barry
1:20pm
-
Dean Barry (a 40-minute talk) I
Dean Barry
1:40pm
-
Dean Barry (a 40-minute talk) II
Dean Barry
2:00pm
1051
An Optimized Approach for Fingerprint Binarization
Yuheng Zhang and Qinghan Xiao
2:20pm
1153
A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification
Deepak Mishra, Abhishek Yadav, Ashutosh Dwivedi and Prem K. Kalra
2:40pm
1156
Neural-Network-Based Photometric Stereo for 3D Surface Reconstruction
Wen-Chang Cheng

Session MonMM-14: Evolutionary Intelligent Agents
Monday, July 17, 1:00PM-3:00PM, Room: Port Alberni

Time
Paper ID
Title/Author
1:00pm
7476
Evolutionary Stigmergy in Multipurpose Navigation Systems
Renato Reder Cazangi, Fernando Von Zuben and Mauricio F. Figueiredo
1:20pm
7577
Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment
Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono and Shigenobu Kobayashi
1:40pm
7276
Biologically Inspired Evolutionary Agent Systems in Dynamic Environments
Ki-Won Yeom
2:00pm
7725
An Immune-based Multilayered Cognitive Model for Autonomous Navigation
Diego Romero and Fernando Nino
2:20pm
7752
Modeling Human Hypotheses-Testing Behaviors using Simulated Evolutionary Processes
Toshihiko Matsuka and Jeffery Nickerson
2:40pm
7026
Using Evolving Agents to Critique Subjective Data: Recommending Music
Hsieh Ji-Lung, Huang Chung-Yuan, Sun Chuen-Tsai, Hsu Jen-Hung and Cheng Chia-Ying

Session MonMM-15: Sb: Towards Human-Level Intelligence
Monday, July 17, 1:00PM-3:00PM, Room: Port McNeill
Time
Paper ID
Title/Author
1:00pm
1237
The Ersatz Brain Project: Neural Inspiration, Cognitive Application
James Anderson and Paul Allopenna
1:20pm
1680
The Mechanism of Thought
Robert Hecht-Nielsen
1:40pm
1862
Constraints on the Design Process for Systems with Human Level Intelligence
Andrew Coward
2:00pm
1754
Computational Creativity
Wlodzislaw Duch
2:20pm
2035
Computational Assessment of the 'Magic' of Human Cognition
Alexei Samsonovich, Giorgio Ascoli and Kenneth De Jong
2:40pm
1348
Patterns, Hypergraphs and Embodied General Intelligence
Ben Goertzel

Session MonPM-1: S3: Complex-Valued Neural Networks II
Monday, July 17, 3:15PM-5:15PM, Room: Gulf Islands BCD

Time
Paper ID
Title/Author
3:15pm
1899
Improvements of the Traffic Signal Control by Complex-Valued Hopfield
Ikuko Nishikawa, Takeshi Iritani and Kazutoshi Sakakibara
3:35pm
1132
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA
Zhe Chen and Jinwen Ma
3:55pm
1222
Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem
Igor Aizenberg, Dmitriy Paliy and Jaakko Astola
4:15pm
1757
Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images
Andriyan Bayu Suksmono, Astri Handayani and Akira Hirose
4:35pm
1573
Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights--Electronic and Optical Implementations
Howard Michel, Abdul Awwal and David Rancour
4:55pm
1818
Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks
Akira Hirose, Tomoaki Higo and Ken Tanizawa

Session MonPM-2: Reinforcement Learning Applications
Monday, July 17, 3:15PM-5:15PM, Room: Junior Ballroom A

Time
Paper ID
Title/Author
3:15pm
1789
Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors
Eric Antonelo, Albert-Jan Baerveldt, Thorsteinn Rognvaldsson and Mauricio Figueiredo
3:35pm
1390
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP
Roman Ilin, Robert Kozma and Paul Werbos
3:55pm
1968
A Reinforcement Learning Framework for Medical Image Segmentation
Farhang Sahba, Hamid R. Tizhoosh and Magdy M. A. Salama
4:15pm
1175
Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming
Hossein Javaherian, Derong Liu and Kovalenko Olesia
4:35pm
2097
Artificial Neural Networks Simulation of Learning of Auditory Equivalence Classes for Vowels
Jan L. Eriksson and Alessandro E.P. Villa
4:55pm
1248
Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation
Jian Li and Laiwan Chan

Session MonPM-3: Neuroscience & Computational Neuroscience II
Monday, July 17, 3:15PM-5:15PM, Room: Junior Ballroom B

Time
Paper ID
Title/Author
3:15pm
1181
NARX Neural Networks for Dynamical Modelling of fMRI Data
Huaien Luo and Sadasivan Puthusserypady
3:35pm
2011
Clustered Neural Dynamics Identify Motifs for Chemotaxis in Caenorhabditis Elegans
Nathan Dunn, Jon Pierce-Shimomura, John Conery and Shawn Lockery
3:55pm
2069
Motor Control-Learning Model for Reaching Movements
Hiroyuki Kambara, Kyoungsik Kim, Duk Shin, Makoto Sato and Yasuharu Koike
4:15pm
1309
About Biologically Plausible Trajectory Generators
Thierry Vieville
4:35pm
1627
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
Benjamin Torben-Nielsen, Karl Tuyls and Eric Postma
4:55pm
1973
Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space
Il Park, Dongming Xu, Thomas DeMarse and Jose Principe

Session MonPM-4: Support Vector Machines & Kernel Methods II
Monday, July 17, 3:15PM-5:15PM, Room: Junior Ballroom C

Time
Paper ID
Title/Author
3:15pm
1409
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification
Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun and Marko Kenneth
3:35pm
1250
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting
Prof. Jayadeva, Reshma Khemchandani and Suresh Chandra
3:55pm
1482
Pattern Selection for Support Vector Regression based on Sparseness and Variability
Jiyoung Sun and Sungzoon Cho
4:15pm
1746
Wavelet-Based Relevance Vector Machines for Stock Index Forecasting
Shian-Chang Huang and Tung-Kuang Wu
4:35pm
1359
A Heuristic for Free Parameter Optimization with Support Vector Machines
Matthew Boardman and Thomas Trappenberg
4:55pm
1825
FPGA Implementation of Support Vector Machines with Pseudo-Logarithmic Number Representation
Andrea Boni and Alessandro Zorat

Session MonPM-5: Sf: Neurodynamics of Higher-Level Cognitive Behavior II
Monday, July 17, 3:15PM-5:15PM, Room: Junior Ballroom D

Time
Paper ID
Title/Author
3:15pm
2105
Metastability in the Brain
J. A. Scott Kelso and Emmanuelle Tognoli
3:35pm
2090
Influence of Criticality on 1/fa Spectral Characteristics of Cortical Neuron Populations
Robert Kozma
3:55pm
1385
How to Prevent Spurious Data in a Chaotic Brain
Colin Molter, Utku Salihoglu and Hugues Bersini
4:15pm
2119
Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance
Emilio Del-Moral-Hernandez
4:35pm
1790
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition
Jin Zhang, Guang Li and Walter J. Freeman
4:55pm
1199
A Fully CMOS Low-Cost Chaotic Neural Network
Jose Luis Rossello, Sebastia Bota, Vicens Canals , Ivan De Paul and Jaume Segura

Session MonPM-6: S4: Computational Intelligence Based on Lattice Theory- Applications III
Monday, July 17, 3:15PM-5:15PM, Room: Parksville, Chair: Vassilis Kaburlasos

Time
Paper ID
Title/Author
3:15pm
4242
GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP
Ahmad Al-Dairaseh, Michael Georgiopoulos, Annie Wu, Georgios Anagnostopoulos and Mansooreh Mollaghasemi
3:35pm
4112
Improving the Performance of FLN by Using Similarity Measures and Evolutionary Algorithms
Al Cripps, Chrisila Pettey and Nghiep Nguyen
3:55pm
4484
Orthonormal Basis Lattice Neural Networks
Angelos Barmpoutis and Gerhard Ritter
4:15pm
4142
Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation
Vassilios Petridis, Vassilis Syrris and John Theocharis
4:35pm
4518
Aggregation of Fuzzy Classifiers Using Coupled Map Lattices
Jonatan Gomez and Elizabeth Leon
4:55pm
4265
Fuzzy Rule Interpolation Matlab Toolbox - FRI Toolbox
Zsolt Csaba Johanyak, Domonkos Tikk, Szilveszter Kovacs and Kok Wai Wong

Session MonPM-7: Sa: Granular Computing: Foundations & Applications
Monday, July 17, 3:15PM-5:15PM, Room: Pavilion Ballroom A, Chair: T.Y.Lin

Time
Paper ID
Title/Author
3:15pm
4290
Efficient Fuzzy Cognitive Modeling for Unstructured Information
Kok Wai Wong, Tamas Gedeon and Laszlo Koczy
3:35pm
4531
Classifying Very Large Data Sets with Minimum Enclosing Ball Based Support Vector Machine
Bo Jin and Yan-Qing Zhang
3:55pm
4393
Decomposition of Contingency Table as Tensor Product
Shusaku Tsumoto and Shoji Hirano
4:15pm
4501
Grid-Enabled Automatic Web Page Classification
Seema Metikurke, Vijay Vaishnavi, Art Vandenberg and Lei Li
4:35pm
4027
Roughness Bounds in Set-oriented Rough Set Operations
Yingjie Yang and Robert John
4:55pm
4496
Naive Bayes Modeling with Proper Smoothing for Information Extraction
Zhenmei Gu and Nick Cercone

Session MonPM-8: Classification
Monday, July 17, 3:15PM-5:15PM, Room: Pavilion Ballroom B, Chair: J. M. C. Sousa

Time
Paper ID
Title/Author
3:15pm
4465
A Meta-Classification Framework
Maria Alessandra Torsello, Anna Maria Fanelli and Ciro Castiello
3:35pm
4359
Nonlinear Classification by Linear Programming with Signed Fuzzy Measures
Nian Yan, Zhenyuan Wang, Yong Shi and Zhengxin Chen
3:55pm
4525
Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes
Rafal Angryk
4:15pm
4108
Fuzzy Entropy-Assisted Fuzzy-Rough Feature Selection
Neil Mac Parthalain, Richard Jensen and Qiang Shen
4:35pm
4389
Bayes-Like Classifier with Fuzzy Likelihood
Shounak Roychowdhury
4:55pm
4272
A New Feature Selection Criterion for Fuzzy Classification
R. J. Almeida, C. A. Silva and J. M. C. Sousa

Session MonPM-9: CEC Competition Program
Monday, July 17, 3:15PM-5:15PM, Room: Pavilion Ballroom C, Chair: Thomas Runarsson


Session MonPM-10: Particle Swarm & Differential Evolution
Monday, July 17, 3:15PM-5:15PM, Room: Pavilion Ballroom D, Chair: Xiaoding Li

Time
Paper ID
Title/Author
3:15pm
7632
The Latest vs. Averaged Recent Experience: Which Better Guides a PSO Algorithm?
Adnan Acan, Ahmet Unveren and Mehmet Bodur
3:35pm
7650
Particle Swarm Optimization for the Bi-objective Degree-constrained Minimum Spanning Tree
Elizabeth Goldbarg, Givanaldo Souza and Marco Goldbarg
3:55pm
7683
Adding Local Search to Particle Swarm Optimization
Sanjoy Das, Praveen Koduru, Min Gui, Michael Cochran, Austin Wareing, Stephen Welch and Bruce Babin
4:15pm
7217
Particle Swarm Optimization Considering the Concept of Predator-Prey Behavior
Mitsuharu Higashitani, Atsushi Ishigame and Keiichiro Yasuda
4:35pm
7306
A Particle Swarm Optimized Particle Filter for Nonlinear System State Estimation
Guofeng Tong, Zheng Fang and Xinhe Xu
4:55pm
7293
Constrained Single-Objective Optimization Using Particle Swarm Optimization
Karin Zielinski and Rainer Laur

Session MonPM-11: Evolutionary Computation Theory III
Monday, July 17, 3:15PM-5:15PM, Room: Orca

Time
Paper ID
Title/Author
3:15pm
7699
Pointwise Regularity of Fitness Landscapes and the Performance of a Simple ES
Evelyne Lutton and Jacques Levy Vehel
3:35pm
7597
Bottom Up Approach for Deriving the Redundancy of Structured Genetic Algorithms
Angelos Molfetas
3:55pm
7154
Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm
Shingo Mabu, Hiroyuki Hatakeyama, Kotaro Hirasawa and Jinglu Hu
4:15pm
7638
Product Geometric Crossover for The Sudoku Puzzle
Alberto Moraglio, Julian Togelius and Simon Lucas
4:35pm
7297
Boosting Genetic Algorithms with (Self-) Adaptive Selection
A. E. Eiben, M.C. Schut and A.R. Wilde de
4:55pm
7634
Estimating the Degree of Neutrality in Fitness Landscapes by the Nei's Standard Genetic
Yoshiaki Katada and Kazuhiro Ohkura

Session MonPM-12: Z6: Recent Development in Artificial Immune Systems
Monday, July 17, 3:15PM-5:15PM, Room: Finback, Chair: Jon Timmis

Time
Paper ID
Title/Author
3:15pm
7060
The Link between r-contiguous Detectors and k-CNF Satisfiability
Thomas Stibor, Jonathan Timmis and Eckert Claudia
3:35pm
7532
Libtissue - Implementing Innate Immunity
Jamie Twycross and Uwe Aickelin
3:55pm
7225
IIDLE: An Immunological Inspired Distributed Learning Environment for Multiple Objective and Hybrid Optimisation
Jason Brownlee
4:15pm
7287
Data Mining based on Gene Expression Programming and Clonal Selection
Vassilios Karakasis and Andreas Stafylopatis
4:35pm
7465
On the Investigation of Artificial Immune Systems on Imbalanced Data Classification for Power Distribution System Fault Cause Identification
Le Xu , Mo -Yuen Chow, Jon Timmis, Leroy Taylor and Andrew Watkins
4:55pm
7679
Analysis of Dental Images using Artificial Immune Systems
Zhou Ji, Dipankar Dasgupta, Zhiling Yang and Hongmei Teng

Session MonPM-13: S2: Biometrics: Algorithms, Architectures & Applications II
Monday, July 17, 3:15PM-5:15PM, Room: Port Hardy

Time
Paper ID
Title/Author
3:15pm
1570
Palmprint Recognition : Two Level Structure Matching
Nalin Pradeep, Mayur Jain, Prakash C and Balasubramanian Raman
3:35pm
1674
Advances in 3D-Based Face Recognition
Robert Paquet and Abbas Kouzani
3:55pm
1722
Synthetic Biometrics: A Survey
Svetlana Yanushkevich
4:15pm
1726
Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification
Stephane Armand, Michael Blumenstein and Vallipuram Muthukkumarasamy
4:35pm
1863
Resolution and Distortion Compensation based on Sensor Evaluation for Interoperable Fingerprint Recognition
Youngchan Han, Jungwoo Nam , Nohjun Park and Hakil Kim
4:55pm
1857
Neural and Statistical Classification to Families of Bio-sequences
Mosaab Daoud and Stefan C. Kremer

Session MonPM-14: Fuzzy Neural Networks
Monday, July 17, 3:15PM-5:15PM, Room: Port Alberni

Time
Paper ID
Title/Author
3:15pm
1356
GenSoFNN-Yager: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference
Richard Jayadi Oentaryo and Michel Pasquier
3:35pm
2052
Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection
Dipti Srinivasan, Saptak Sanyal and Woei Wan Tan
3:55pm
1010
Experiments with Safe micro-ARTMAP and Comparisons to Other ART Networks
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios Anagnostopoulos, Mansooreh Mollaghasemi and Richie Samuel
4:15pm
1597
Optimization of ANFIS with Applications in Machine Defect Severity Classification
Shuangwen Sheng and Robert Gao
4:35pm
1621
A Novel and Efficient Neuro-Fuzzy Classifier for Medical Diagnosis
Chin-Ming Hong, Chih-Ming Chen, Shyuan-Yi Chen and Chao-Yen Huang
4:55pm
1087
Rough Set-based Neuro-fuzzy System
Kaikeng Ang and Chai Quek

Plenary Poster Session Mon-P: Posters Monday
Monday, July 17, 7:30PM-9:30PM, Room: Grand Ballroom

Paper ID
Title/Author
1082
Statistical Mechanics of Online Learning for Ensemble Teachers
Seiji Miyoshi and Masato Okada
1951
Training Radial Basis Functions by Gradient Descent
Mercedes Fernandez-Redondo, Joaquin Torres-Sospedra and Carlos Hernandez-Espinosa
1896
Hybrid Neural Network
Sana'a Al-Sayegh
1334
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines
Yingfeng Wang and Xiaoqin Zeng
1749
A Comparison between Recursive Neural Networks and Graph Neural Networks
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli and Marco Maggini
1304
A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions
Jing Li and Bao-Liang Lu
1572
Hamiltonian Neural Networks Based Classifiers and Mappings
Wieslaw Sienko and Dariusz Zamojski
1676
Localized Support Vector Machines For Classification
Ming Dong and Jin Wu
1937
Fast Neural Implementation of PCA for Face Detection
Hazem El-bakry and Qiangfu Zhao
1141
An Improved Minibrain That Learns Through Both Positive and Negative Feedback
Chee Phua and Alan Blair
1517
Prototype based Outlier Detection
Seungtaek Kim and Sungzoon Cho
1167
A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Dynamic System Identification
Jianchuan Yin, Fang Dong and Nini Wang
1486
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors
Salvatore Calcagno, Antonino Greco, Francesco Carlo Morabito and Mario Versaci
1152
Generalizing Independent Component Analysis for Two Related Data Sets
Juha Karhunen and Tomas Ukkonen
1952
Small-catchment Flood Forecasting and Drainage Network Extraction using Computational Intelligence
Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Frank Marzano and Guido Visconti
1277
Neuro-Fuzzy Control of SSSC and SMES for Transient Stability Improvement of Power System Transmission Lines
S. Mohammad Sadeghzadeh and Meghdad Ansarian
1209
Direct Estimation of Fault Tolerance of Feedforward Neural Networks in Pattern Recognition
Huilan Jiang, Tangsheng Liu and Mengbin Wang
1995
Structural Mapping with Identical Elements Neural Network
Jianghua Bao and Paul Munro
2078
Multisensor Data Fusion Using Neural Networks
Narri Yadaiah, Lakshman Singh, Raju Bapi, V. Seshagiri Rao and B. L. Deekshatulu
1960
Generalized Wavelet Neural Network Model and its Application in Time Series Prediction
Ahmad Banakar and Mohammad Fazle Azeem
1578
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons
Ana Gonzalez and Jose Dorronsoro
1233
Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks
Giuseppe Acciani, Gioacchino Brunetti, Ernesto Chiarantoni and Girolamo Fornarelli
1606
A Neural Network Approach to Bearing Health Assessment
Robert Gao, Changting Wang, Ruqiang Yan and Arnaz Malhi
1842
A Neural Network based Technique for Automatic Classification of Road Cracks
Justin Bray, Brijesh Verma, Xue Li and Wade He
1522
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction
Rozaida Ghazali, Abir Hussain and Wael El-Deredy
1207
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition
Sai-Ho Ling, Frank Leung and Hak-Keung Lam
1841
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for Classification
Tiago Barra, George Bezerra, Leandro de Castro and Fernando Von Zuben
2104
The Online Models based Fault Tolerant Control for Multiple Sensor Fault of Multi-variable Nonlinear Processes
Cuimei Bo, Zhiquan Wang, Jinguo Lin, Shi Zhang and Guangming Zhang
1711
Image Compression using An Enhanced Self Organizing Map Algorithm with Vigilance Parameter
Elham Bavafa and M. J. Yazdanpanah
1812
Tentacled Self-Organizing Map for Effective Data Extraction
Haruna Matsushita and Yoshifumi Nishio
1555
A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space
John Hammond, Daniel MacLean and Iren Valova
1503
SOM-Based Sparse Binary Encoding for AURA Classifier
Simon O'Keefe and Oleksiy Dekhtyarenko
2055
Integration of Kohonen Self-organized Maps and Genetic Algorithms for the Detection and Delimitation of Thin Beds Reservoir in Seismic Information
Emil Guerra, Trino Salinas and Oscar Gualdron
1678
Identification of a Dynamic Model for a Thin Film Deposition Process using a Self-Organizing Map
Cihan Oguz and Martha Gallivan
1101
Multi-Sensors Data Tracking Fusion Based on A Neural Network Filter
Yangsheng Chen and Gangfeng Yang
1169
NaviSOM: Automatic Construction of Navigational Structure for Web Pages Using Self-organizing Maps
Hsin-Chang Yang and Chung-Hong Lee
1603
Bi-directional Modularity to Learn Visual Servoing Tasks
Gilles Hermann, Patrice Wira and Jean-Philippe Urban
1474
Self-Organizing Map with Refractoriness and Its Application to Image Retrieval
Hikaru Mogami, Masahiko Otake, Naoki Kouno and Yuko Osana
1378
The Time Adaptive Self-Organizing Map Is a Neural Network Based on Artificial Immune System
Hamed Shah-Hosseini
1428
Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates
Zhigang Zeng and Jun Wang
1505
A Note on the Fractional-Order Cellular Neural Networks
Ivo Petras
1802
Stability
Anke Meyer-Baese
1376
Robust Stability Analysis of a Class of Noise Perturbed Two--Time Scale Neural Networks
Anke Meyer-Baese
1807
The Design of MOS-NDR-Based Cellular Neural Network
Dong-Shong Liang, Yaw-Hwang Chen, Chun-Min Wen, Chun-Da Tu and Kwang-Jow Gan
1127
A New Approach to Image Authentication Using Local Image Icon of Unit-linking PCNN
Xiaodong Gu
1481
Neural Network Based State Estimation of Dynamical Systems
Yadaiah Narri and Sowmya G.
1493
Reservoir-based Techniques for Speech Recognition
David Verstraeten, Benjamin Schrauwen and Dirk Stroobandt
1433
Neural Network Approaches for Text Document Categorization
ZhiHang Chen, Chengwen Ni and Yi Murphey
1362
Comparative Study of Different Types of Wavelet Functions in Neural Network
Mohammad Fazle Azeem, Ahmad Banakar and Vinod Kumar
1888
Self-Organizing Quantum Neural Network
RiGui Zhou, HongYuan Zheng, Nan Jiang and QiuLin Ding
1769
A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis
Pei Ling Lai, Gayle Leen and Colin Fyfe
1765
Neural Network Prediction of Reduced Ion Mobility of Chemical Compound Based on Molecular Structure
Tuan Duong, De-Ling Liu and Isik Kanik
1569
High-speed Bi-directional Function Approximation Using Plausible Neural Networks
Kuo-chen Li, Dar-jen Chang and Yuan-Yan Chen
1911
Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive
Lech Grzesiak and Bartlomiej Ufnalski
2017
Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets
Piotr Ciskowski
1805
Laser Cutting Parameters Optimization Based on Artificial Neural Network
Dixin Guo, Jimin Chen and Yuhong Cheng
1308
Design of State Estimators for the Inferential Control of an Industrial Distillation Column
Almila Bahar, Evren Guner, Canan Ozgen and Ugur Halici
1988
Rough Set Theory based Neural Network Architecture
Sandeep Chandana and Rene V. Mayorga
1015
On Geometric Structure of Quasi-Additive Learning Algorithms
Kazushi Ikeda
1777
Consistent Density Function Estimation with Multilayer Perceptrons
Pablo Zegers and Jose Johnson
1262
Autonomous and Deterministic Clustering for Probabilistic Neural Network of Incomplete Data
Roy Kwang Yang Chang, Chu Kiong Loo and M.V.C. Rao
1669
Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks
Yonghong Huang, Deniz Erdogmus, Santosh Mathan and Misha Pavel
1770
A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation
Pei Ling Lai and Colin Fyfe
1154
Learning of Kernel Functions in Support Vector Machines
Chih-Cheng Yang, Wan-Jui Lee and Shie-Jue Lee
1536
Support Vector Regression Based on Goal Programming and Multi-objective Programming
Hirotaka Nakayama and Yeboon Yun
1710
SVM Training: Second-Order Cone Programming versus Quadratic Programming
Rameswar Debnath and Haruhisa Takahashi
1420
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
Ivor W. Tsang, James T. Kwok and Li Shutao
1430
Web Host Access Tool: A Support Vector Machine Approach
Satarupa Banerjee and Lillian Cassel
1125
A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description
Daewon Lee and Jaewook Lee
1827
Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach
Kien Ping Chung, Kok Wai Wong and Chun Che Fung
1251
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative
Prof. Jayadeva, Reshma Khemchandani and Suresh Chandra
1688
Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems
Steven Van Vaerenbergh, Javier Via and Ignacio Santamaria
1920
Choosing the Kernel Parameters of Support Vector Machines According to the Inter-cluster Distance
Kuo-Ping Wu and Sheng-De Wang
1180
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
Takashi Onoda, Hiroshi Murata and Seiji Yamada
1602
Accurate SVM Text Classification for Highly Skewed Data Using Threshold Tuning and Query-Expansion-Based Feature Selection
Ben Goertzel and James Venuto
2126
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
Deborah Duong, Ben Goertzel, Jim Venuto, Ryan Richardson, Shawn Bohner and Edward Fox
1068
Kernel Partial Least-Squares Regression
Yifeng Bai, Jian Xiao and Long Yu
1452
Confidence of SVM Predictions using a Strangeness Measure
Elsa Jordaan and Iryna Nishchenko
1360
Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH
Bao Rong Chang and Hsiu Fen Tsai
1858
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
Sunho Park and Seungjin Choi
1310
Building Neural Network Ensembles using Genetic Programming
Ulf Johansson, Tuve Loefstroem, Rikard Koenig and Lars Niklasson
1575
Pruning in Ordered Regression Bagging Ensembles
Daniel Hernandez-Lobato, Gonzalo Martinez-Munoz and Alberto Suarez
1634
On Combining Backpropagation with Boosting
Marcin Korytkowski, Leszek Rutkowski and Rafal Scherer
1458
Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm
Joaquin Torres-Sospedra, Carlos Hernandez-Espinosa and Mercedes Fernandez-Redondo
1816
Designing a New Multilayer Feedforward Modular Network for Classification Problems
Joaquin Torres-Sospedra, Carlos Hernandez-Espinosa and Mercedes Fernandez-Redondo
1675
Evolutionary Search for Interesting Behavior of Neural Network Ensembles
Pavel Kordik, Jan Saidl and Miroslav Snorek
1837
Variable Input Neural Network Ensembles in Generating Synthetic Well Logs
Dingding Chen, John Quirein, Harry Smith, Syed Hamid and Jeff Grable
1092
Neural-Network-based Metalearning for Distributed Text Information Retrieval
Kin Keung Lai, Lean Yu, Shouyang Wang and Wei Huang
1498
Using Accuracy and Diversity to Select Classifiers to Build Ensembles
Rodrigo G F Soares, Alixandre Santana, Anne Canuto and Marcilio Souto
1484
A Simple Design for High Speed Normalized Neural Networks Implemented in the Frequency Domain for Pattern Detection
Hazem El-bakry
1346
Fast Co-operative Modular Neural Processors for Human Face Detection
Hazem El-bakry
1526
Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-scale Learning Problems
Daqi Gao and Jie Li
1364
Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System
Jahangheer Shaik and Mohammed Yeasin
1139
Extending Manifold Leaning Algorithms by Neural Networks
Jiayan Jiang and Liming Zhang
1280
Improving Classification Precision by Implicit Kernels Motivated by Manifold Learning
Yuexian Hou, Jingyi Wu and Pilian He
2067
Recursive Feature Addition for Gene Selection
Qingzhong Liu and Andrew H. Sung
2064
Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons
Bart Kosko and Ashok Patel
1804
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
Akaysha Tang, Matthew Sutherland, McKinney Christopher, Jing-Yu Liu and Yan Wang
1716
Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data
Vahid Taimouri, Gholam-Ali Hossein-Zadeh and Hamid Soltanian-Zadeh
1717
Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain
Mohammad Soleymani, Gholam-Ali Hossein-Zadeh and Hamid Soltanian-Zadeh
1913
The Learning and Dynamics of VSF-Network
Yoshitsugu Kakemoto and Shinichi Nakasuka
1292
Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation
Narendra Chaudhari, Nirmal Dagdee and Meng Joo Er
1436
Diagnosis of Power Transformer Using Fuzzy Clustering and Radial Basis Function Neural Network
Jong-pil Lee, Dae-jong Lee, Pyeong-shik Ji, Jae-yoon Lim and Sung-soo Kim
1889
Automated Detection of Color Non-Uniformity Defects in TFT-LCD
Hong-Dar Lin and Chih-Hao Chien
1453
A Region of Interest Based Image Segmentation Method Using a Biologically Motivated Selective Attention Model
Seung-Hyun Lee, Jaekyoung Moon and Minho Lee
1305
A Neural Network Model for the Decision-Making Process Based on ANP
Abel Nyamapfene and Khurshid Ahmad
1335
Unsupervised Multi-net Simulation: An Application to Child Development
Kuo-Yang Tu
1500
Landscape of a Likelihood Surface for a Gaussian Mixture and its Use for the EM Algorithm
Yuta Ishikawa and Ryohei Nakano
1416
Estimation of Stochastic Representation of Via-points in Human Motion Control by Reinforcement Learning
Yasuhiro Wada and Ken-ichi Tokunaga
1228
Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours
Robert Escalante and Heidar Malki
1016
Intelligent Decoupled Control for Linear Induction Motor Drive
Rong-Jong Wai, Jeng-Dao Lee and Chia-Chin Chu
1124
Getting Parameters in Power Systems based on Adaptive Linear Neural Network
Zhenfu Bi, Fusheng Wnag and Congcong Liu
Paper ID
Title/Author
4002
Adaptive Critic Neuro-fuzzy Control of Two-Wheel Vehicle
Wei-Song Lin, Glorious Tien and Chia-Hsiang Tu
4049
A New Fuzzy Autopilot for Way-Point Tracking Control of Ships
Jin Cheng, Jianqiang Yi and Dongbin Zhao
4063
Intelligent Control for DC-DC Power Converter with Recurrent Fuzzy Neural Network Approach
Chun-Fei Hsu, Tsu-Tian Lee, Yao-Wei Wen and Fu-Shan Ding
4070
Adaptive Fuzzy Controller Design for Time-Delay Systems with Input Containing Sector Nonlinearities and Dead-Zone
Chung-Chun Kung and Ti-Hung Chen
4071
Piecewise H-infinity Controller Design for a class of T-S Fuzzy Systems with Time Delay
Ti-Hung Chen and Chung-Chun Kung
4074
Fuzzy Potential Energy for a Map Approach to Robot Navigation
Kuo-Yang Tu
4079
Design and Implement of the Self-dynamic Controller for Two-wheel Transporter
Chih-Hui Chiu and Ya-Fu Peng
4087
Robust Stabilization of Fuzzy Control for Nonlinear Multiple Time-Delay Interconnected Systems via Neural-Network-Based Approach
Feng-Hsiag Hsiao, Yew-Wen Liang, Sheng-Dong Xu, Chia-Yen Lin and Zhi-Ren Tsai
4305
Decoupled Adaptive Type-2 Fuzzy Controller (DAT2FC) Design for Nonlinear TORA Systems
Ching-Hung Lee, Hung-Yi Pan, Hua-Hsiang Chang and Bor-Hang Wang
4343
On-line Learning Rules for Type-2 Fuzzy Controller
Woei Wan Tan and Danesh Hasan Kamal
4379
Robust Automatic Parking without Odometry using Enhanced Fuzzy Logic Controller
Young-Woo Ryu, Se-Young Oh and SamYong Kim
Paper ID
Title/Author (Chair: Gwenn Volker)
7070
A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms
Yong Liang, Kwong-Sak Leung and Kin-Hong Lee
7163
Exponential Evolutionary Programming Without Self-Adaptive Strategy Parameter
Hiroyuki Narihisa, Takahiro Taniguchi, Mayumi Ohta and Kengo Katayama
7164
Evolutionary Programming With Only Using Exponential Mutation
Hiroyuki Narihisa, Keiko Kohmoto, Takahiro Taniguchi, Mayumi Ohta and Kengo Katayama
7735
Exploiting Landscape Information to Avoid Premature Convergence in Evolutionary Search
Maumita Bhattacharya
7221
Minimum Number of Generations Required for Convergence of Genetic Algorithms
Matthew Gibbs, Holger Maier, Graeme Dandy and John Nixon
7123
A Three-level Gene Chromosome Representation for Evolutionary Modeling
Zhuo Kang, Yan Li and Lishan Kang
7067
A Dynamic Multi-Objective Evolutionary Algorithm Based on an Orthogonal Design
Guang Chen, Sanyou Zeng, Hui Shi, Hugo de Garis and Lishan Kang
7484
Distributed Genetic Algorithm with Bi-Coded Chromosomes and a New Evaluation Function for Features Selection
Tarek M. Hamdani, Adel M. Alimi and Fakhri Karray
7581
Ant-Based Approach to the Quality Aware Application Service Partitioning in a Grid Environment
Sharath Babu Musunoori and Geir Horn
7274
An Evolutionary Approach for Dynamic Reconfiguration in Heterogeneous Database Schemas
Ki-Won Yeom
7765
Evolving Musical Sequences with N-Gram Based Trainable Fitness Functions
Man Yat Lo and Simon Lucas
7771
Evolving Letter Recognition with an Extended Analog Computer
Matt Parker, Chen Zhang, Jonathan Mills and Bryce Himebaugh
7177
Neutrality and Gradualism: Encouraging Exploration and Exploitation Simultaneously with Binary Decision Diagrams
Richard Downing
7695
Evolving NNTrees More Efficiently
Hirotomo Hayashi and Qiangfu Zhao
7080
Aerodynamic Parameter Estimation Using Genetic Algorithms
Yang Shi, Weiqi Qian, Qing Wang and Kaifeng He
7179
Self-Organizing Swarm (SoSwarm): A Particle Swarm Algorithm for Unsupervised Learning
Michael O'Neill and Anthony Brabazon
7268
A Self-controlled Genetic Algorithm for Reliable Communication Network Design
Lin Lin and Mitsuo Gen
7621
Introducing Grammar Based Extensions for Grammatical Evolution
Miguel Nicolau and Ian Dempsey
7696
A Genetic Binary Particle Swarm Optimization Model
Javad Sadri and Ching Y. Suen
7337
Dendritic Cells for Anomaly Detection
Julie Greensmith, Jamie Twycross and Uwe Aickelin
7113
Simultaneous Perturbation Particle Swarm Optimization
Yutaka Maeda and Toru Kuratani
7035
Cryptanalysis of Simple Substitution Ciphers Using Particle Swarm Optimization
Amr Youssef and Mohammad Faisal Uddin
7055
DNA Encoding Method of Weight for Chinese Postman Problem
Aili Han and Daming Zhu
7167
A Learning OCR System Using Short/Long-term Memory Approach and Hardware Implementation in FPGA
Ali Ahmadi, M. Arifin Ritonga, M. Anwarul Abedin, Hans Jurgen Mattausch and Tetsush Koide
7290
A Novel (1+1) Evolutionary Clustering Algorithm
Wei Lu
7321
Comparing Particle Swarm Optimisation and Genetic Algorithms for Nonlinear Mapping
Auralia Edwards and Andries Engelbrecht
7373
Learning Non-overlapping Rules A Method based on Functional Dependency Network and MDL Genetic Programming
Wing-Ho Shum, Kwong-Sak Leung and Man-Leung Wong
7222
Improving Metamodel-based Optimization of Water Distribution Systems with Local Search
Darren Broad, Graeme Dandy, Holger Maier and John Nixon
7393
Two-staged Tabu Search for Floorplan Problem Using O-Tree Representation
Hiroshi Ninomiya, Kimihiko Numayama and Hideki Asai
7454
A genetic Algorithm for the Capacitated Minimum Spanning Tree
A genetic Algorithm for the Capacitated Minimum Spanning Tree
7498
Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm
Mohammad Abido
7575
A New Search Algorithm based on Multiple State Transition
Yoko Kobayashi
7299
Co-evolutionary Algorithm for Hierarchical Fuzzy Control of the Inverted Pendulum
Russel Stonier and Julius Zajaczkowski
7592
Approximate Evolution Strategy using Stochastic Ranking
Thomas Runarsson
7648
New Perspectives for the Biclustering Problem
Fabricio O. de Franca, George Bezerra and Fernando Von Zuben
7675
Medical Data Mining using Particle Swarm Optimization for Temporal Lobe Epilepsy
Mostafa Ghannad-Rezaie, Hamid Soltanian-Zadeh, Mohammad-Reza Siadat and Kost Elisevich
7688
Co-Evolutionary Multi-Agent System with Sexual Selection Mechanism for Multi-Objective Optimization
Rafal Drezewski and Leszek Siwik