Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This book and its sister volumes constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, UK, Ireland, Canada, USA, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).

Author(s): Si Wu, Jianfeng Feng, Shun-ichi Amari (auth.), Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (eds.)
Series: Lecture Notes in Computer Science 3971 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006

Language: English
Pages: 1444
Tags: Computation by Abstract Devices; Computer Communication Networks; Algorithm Analysis and Problem Complexity; Discrete Mathematics in Computer Science; Artificial Intelligence (incl. Robotics); Pattern Recognition

Front Matter....Pages -
The Ideal Noisy Environment for Fast Neural Computation....Pages 1-6
How Does a Neuron Perform Subtraction? – Arithmetic Rules of Synaptic Integration of Excitation and Inhibition....Pages 7-14
Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver....Pages 15-20
A Gaussian Dynamic Convolution Models of the FMRI BOLD Response....Pages 21-26
Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion....Pages 27-33
A Model of Category Learning with Attention Augmented Simplistic Prototype Representation....Pages 34-40
On the Learning Algorithms of Descriptive Models of High-Order Human Cognition....Pages 41-49
A Neural Model on Cognitive Process....Pages 50-59
Approximation Bound of Mixture Networks in $L^{p}_{\omega}$ Spaces....Pages 60-65
Integral Transform and Its Application to Neural Network Approximation....Pages 66-71
The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units....Pages 72-79
Wavelets Based Neural Network for Function Approximation....Pages 80-85
Passivity Analysis of Dynamic Neural Networks with Different Time-Scales....Pages 86-92
Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms....Pages 93-99
Convergence Analysis of Continuous-Time Neural Networks....Pages 100-108
Global Convergence of Continuous-Time Recurrent Neural Networks with Delays....Pages 109-114
Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks....Pages 115-121
Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay....Pages 122-128
New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays....Pages 129-134
Dynamics of General Neural Networks with Distributed Delays....Pages 135-140
On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays....Pages 141-146
Stability Analysis of Neutral Neural Networks with Time Delay....Pages 147-152
Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms....Pages 153-158
Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays....Pages 159-164
Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process....Pages 165-171
Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations....Pages 172-178
Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays....Pages 179-184
Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses....Pages 185-191
Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays....Pages 192-197
LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays....Pages 198-203
Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen-Grossberg Neural Networks....Pages 204-210
A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks....Pages 211-216
Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays....Pages 217-223
Exponential Stability of Delayed Stochastic Cellular Neural Networks....Pages 224-229
Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses....Pages 230-235
Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays....Pages 236-242
Stability of Fuzzy Cellular Neural Networks with Impulses....Pages 243-248
Absolute Stability of Hopfield Neural Network....Pages 249-254
Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching....Pages 255-260
Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays....Pages 261-266
Convergence Analysis of Discrete Delayed Hopfield Neural Networks....Pages 267-272
An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay....Pages 273-278
Existence of Periodic Solution of BAM Neural Network with Delay and Impulse....Pages 279-284
On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback....Pages 285-290
Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons....Pages 291-296
Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales....Pages 297-302
Global Synchronization of Impulsive Coupled Delayed Neural Networks....Pages 303-308
Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay....Pages 309-315
Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network....Pages 316-321
Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network....Pages 322-327
Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons....Pages 328-333
Autapse Modulated Bursting....Pages 334-343
A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset....Pages 344-349
Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset....Pages 350-358
A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints....Pages 359-368
A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints....Pages 369-378
Wavelet Chaotic Neural Networks and Their Application to Optimization Problems....Pages 379-384
A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy....Pages 385-390
A New Neural Network Approach to the Traveling Salesman Problem....Pages 391-398
Dynamical System for Computing Largest Generalized Eigenvalue....Pages 399-404
A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices....Pages 405-413
A Novel Stochastic Learning Rule for Neural Networks....Pages 414-423
Learning with Single Quadratic Integrate-and-Fire Neuron....Pages 424-429
Manifold Learning of Vector Fields....Pages 430-435
Similarity Measure for Vector Field Learning....Pages 436-441
The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm....Pages 442-447
Dynamic Competitive Learning....Pages 448-455
Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks....Pages 456-463
A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection....Pages 464-469
Self-organizing Neural Architecture for Reinforcement Learning....Pages 470-475
On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces....Pages 476-481
Combining Label Information and Neighborhood Graph for Semi-supervised Learning....Pages 482-488
A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System....Pages 489-495
An Optimal Iterative Learning Scheme for Dynamic Neural Network Modelling....Pages 496-501
Delayed Learning on Internal Memory Network and Organizing Internal States....Pages 502-508
A Novel Learning Algorithm for Feedforward Neural Networks....Pages 509-514
On H  ∞  Filtering in Feedforward Neural Networks Training and Pruning....Pages 515-523
A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks....Pages 524-529
A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse....Pages 530-536
A Modular Reduction Method for k -NN Algorithm with Self-recombination Learning....Pages 537-544
Selective Neural Network Ensemble Based on Clustering....Pages 545-550
An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks....Pages 551-557
Training Cellular Neural Networks with Stable Learning Algorithm....Pages 558-563
A New Stochastic PSO Technique for Neural Network Training....Pages 564-569
A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training....Pages 570-576
Training RBF Neural Network with Hybrid Particle Swarm Optimization....Pages 577-583
Robust Learning by Self-organization of Nonlinear Lines of Attractions....Pages 584-589
Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System....Pages 590-598
Q-Learning with FCMAC in Multi-agent Cooperation....Pages 599-606
Q Learning Based on Self-organizing Fuzzy Radial Basis Function Network....Pages 607-615
A Fuzzy Neural Networks with Structure Learning....Pages 616-622
Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification....Pages 623-630
A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine....Pages 631-636
Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision....Pages 637-643
Evolutionary Extreme Learning Machine – Based on Particle Swarm Optimization....Pages 644-652
A Gradient-Based ELM Algorithm in Regressing Multi-variable Functions....Pages 653-658
A New Genetic Approach to Structure Learning of Bayesian Networks....Pages 659-668
Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs....Pages 669-675
Output PDF Shaping of Singular Weights System: Monotonical Performance Design....Pages 676-682
Stochastic Time-Varying Competitive Neural Network Systems....Pages 683-688
Heterogeneous Centroid Neural Networks....Pages 689-694
Building Multi-layer Small World Neural Network....Pages 695-700
Growing Hierarchical Principal Components Analysis Self-Organizing Map....Pages 701-706
Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory....Pages 707-713
Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms....Pages 714-722
A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural Network....Pages 723-731
A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion....Pages 732-738
A Parallel Coevolutionary Immune Neural Network and Its Application to Signal Simulation....Pages 739-746
A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm Optimization....Pages 747-751
Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm....Pages 752-761
Fuzzy Rule Extraction Using Robust Particle Swarm Optimization....Pages 762-767
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms....Pages 768-773
Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System....Pages 774-779
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis....Pages 780-785
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference....Pages 786-791
A New Fuzzy ART Neural Network Based on Dual Competition and Resonance Technique....Pages 792-797
Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks....Pages 798-803
A New Fuzzy Identification Method Based on Adaptive Critic Designs....Pages 804-809
Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms....Pages 810-817
Alpha-Beta Associative Memories for Gray Level Patterns....Pages 818-823
Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates....Pages 824-829
Autonomous and Deterministic Probabilistic Neural Network Using Global k -Means....Pages 830-836
Selecting Variables for Neural Network Committees....Pages 837-842
An Adaptive Network Topology for Classification....Pages 843-848
A Quantitative Comparison of Different MLP Activation Functions in Classification....Pages 849-857
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition....Pages 858-865
Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network....Pages 866-872
Hierarchical Radial Basis Function Neural Networks for Classification Problems....Pages 873-879
Biased Wavelet Neural Network and Its Application to Streamflow Forecast....Pages 880-888
A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron Classifiers....Pages 889-894
SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle....Pages 895-902
Flexible Neural Tree for Pattern Recognition....Pages 903-908
A Novel Model of Artificial Immune Network and Simulations on Its Dynamics....Pages 909-914
A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion....Pages 915-921
Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison....Pages 922-927
Support Vector Machines with Beta-Mixing Input Sequences....Pages 928-935
Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set....Pages 936-941
A Smoothing Multiple Support Vector Machine Model....Pages 942-948
Fuzzy Support Vector Machines Based on Spherical Regions....Pages 949-954
Building Support Vector Machine Alternative Using Algorithms of Computational Geometry....Pages 955-961
Cooperative Clustering for Training SVMs....Pages 962-967
SVMV – A Novel Algorithm for the Visualization of SVM Classification Results....Pages 968-973
Support Vector Machines Ensemble Based on Fuzzy Integral for Classification....Pages 974-980
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem....Pages 981-990
SVDD-Based Method for Fast Training of Multi-class Support Vector Classifier....Pages 991-996
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification....Pages 997-1003
A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm....Pages 1004-1009
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines....Pages 1010-1015
Sparse Least Squares Support Vector Machine for Function Estimation....Pages 1016-1021
A Multiresolution Wavelet Kernel for Support Vector Regression....Pages 1022-1029
Multi-scale Support Vector Machine for Regression Estimation....Pages 1030-1037
Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel....Pages 1038-1043
An Efficient Similarity-Based Validity Index for Kernel Clustering Algorithm....Pages 1044-1049
Fuzzy Support Vector Clustering....Pages 1050-1056
An SVM Classification Algorithm with Error Correction Ability Applied to Face Recognition....Pages 1057-1062
A Boosting SVM Chain Learning for Visual Information Retrieval....Pages 1063-1069
Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection....Pages 1070-1075
A New Proximal Support Vector Machine for Semi-supervised Classification....Pages 1076-1082
Sparse Gaussian Processes Using Backward Elimination....Pages 1083-1088
Comparative Study of Extreme Learning Machine and Support Vector Machine....Pages 1089-1095
Multi-level Independent Component Analysis....Pages 1096-1102
An ICA Learning Algorithm Utilizing Geodesic Approach....Pages 1103-1108
An Extended Online Fast-ICA Algorithm....Pages 1109-1114
Gradient Algorithm for Nonnegative Independent Component Analysis....Pages 1115-1120
Unified Parametric and Non-parametric ICA Algorithm for Arbitrary Sources....Pages 1121-1126
A Novel Kurtosis-Dependent Parameterized Independent Component Analysis Algorithm....Pages 1127-1132
Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis....Pages 1133-1139
Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm....Pages 1140-1146
An Novel Algorithm for Blind Source Separation with Unknown Sources Number....Pages 1147-1152
Blind Source Separation Based on Generalized Variance....Pages 1153-1158
Blind Source Separation with Pattern Expression NMF....Pages 1159-1164
Nonlinear Blind Source Separation Using Hybrid Neural Networks....Pages 1165-1170
Identification of Mixing Matrix in Blind Source Separation....Pages 1171-1176
Identification of Independent Components Based on Borel Measure for Under-Determined Mixtures....Pages 1177-1182
Estimation of Delays and Attenuations for Underdetermined BSS in Frequency Domain....Pages 1183-1188
Application of Blind Source Separation to Five-Element Cross Array Passive Location....Pages 1189-1194
Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method....Pages 1195-1201
Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method....Pages 1202-1207
Two-Stage Blind Deconvolution for V-BLAST OFDM System....Pages 1208-1213
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models....Pages 1214-1221
Adaptive Support Vector Clustering for Multi-relational Data Mining....Pages 1222-1230
Robust Data Clustering in Mercer Kernel-Induced Feature Space....Pages 1231-1237
Pseudo-density Estimation for Clustering with Gaussian Processes....Pages 1238-1243
Clustering Analysis of Competitive Learning Network for Molecular Data....Pages 1244-1249
Self-Organizing Map Clustering Analysis for Molecular Data....Pages 1250-1255
A Conscientious Rival Penalized Competitive Learning Text Clustering Algorithm....Pages 1256-1260
Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration....Pages 1261-1266
Ensemble Learning for Keyphrases Extraction from Scientific Document....Pages 1267-1272
Grid-Based Fuzzy Support Vector Data Description....Pages 1273-1279
Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking....Pages 1280-1285
Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural Network....Pages 1286-1292
Scientific Data Lossless Compression Using Fast Neural Network....Pages 1293-1298
HyperSurface Classifiers Ensemble for High Dimensional Data Sets....Pages 1299-1304
Designing a Decompositional Rule Extraction Algorithm for Neural Networks....Pages 1305-1311
Estimating Fractal Intrinsic Dimension from the Neighborhood....Pages 1312-1318
Dimensionality Reduction for Evolving RBF Networks with Particle Swarms....Pages 1319-1325
Improved Locally Linear Embedding Through New Distance Computing....Pages 1326-1333
An Incremental Linear Discriminant Analysis Using Fixed Point Method....Pages 1334-1339
A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm....Pages 1340-1345
Classification with the Hybrid of Manifold Learning and Gabor Wavelet....Pages 1346-1351
A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection....Pages 1352-1358
Using Ensemble Feature Selection Approach in Selecting Subset with Relevant Features....Pages 1359-1366
A New Method for Feature Selection....Pages 1367-1372
Improved Feature Selection Algorithm Based on SVM and Correlation....Pages 1373-1380
Feature Selection in Text Classification Via SVM and LSI....Pages 1381-1386
Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines....Pages 1387-1393
Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients....Pages 1394-1399
Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMF....Pages 1400-1405
Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets....Pages 1406-1411
Application of Self-organizing Feature Neural Network for Target Feature Extraction....Pages 1412-1420
Divergence-Based Supervised Information Feature Compression Algorithm....Pages 1421-1426
Back Matter....Pages -