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

by Wang, Jun; Yi, Zhang; Zurada, Jacek M.; Lu, Bao-liang; Hujun, Yin

• ISBN13: 9783540344391
• ISBN10: 354034439X
• Format: Paperback
• Copyright: 2006-06-15
• Publisher: Springer-Verlag New York Inc

Summary

The three volume set LNCS 3971/3972/3973 constitutes the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006, held in Chengdu, China in May/June 2006.The 616 revised papers presented were carefully reviewed and selected from about 2.500 submissions. The papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, ICA and BSS, data preprocessing, pattern classification, computer vision, image processing, signal processing, system modeling, control systems, robotic systems, power systems, transportation systems, communication networks, information security, fault detection, financial analysis, neuroinformatics, bioinformatics, biomedical applications, industrial applications, other applications, and hardware implementation.

Table of Contents

Neurobiological Analysis
The Ideal Noisy Environment for Fast Neural Computation
Si Wu, Jianfeng Feng, Shun-ichi Amari	1	(6)
How Does a Neuron Perform Subtraction? – Arithmetic Rules of Sy itaptic Integration of Excitation and Inhibition
Xu-Dong Wang, Jiang Hao, Mu-Ming Poo, Xiao-Hui Zhang	7	(8)
Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver
Jun Liu, Jian Wu, Zhengguo Lou, Guang Li	15	(6)
A Gaussian Dynamic Convolution Models of the FMRI BOLD Response
Huafu Chen, Ling Zeng, Dezhong Yao, Qing Gao	21	(6)
Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion
Mingxiao Ding, Naigong Yu, Xiaogang Ruan	27	(7)
A Model of Category Learning with Attention Augmented Simplistic Prototype Representation
Toshihiko Matsuka	34	(7)
On the Learning Algorithms of Descriptive Models of High-Order Human Cognition
Toshihiko Matsuka, Arieta Chouchourelou	41	(9)
A Neural Model on Cognitive Process
Ru-bin Wang, Jing Yu, Zhi-kang Zhang	50	(10)
Theoretical Analysis Approximation Bound of Mixture Networks in Lpw, Spaces
Zongben Xu, Jianjun Wang, Deyu Meng	60	(6)
Integral Transform and Its Application to Neural Network Approximation
Feng-jun Li, Zongben Xu	66	(6)
The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units
Chunmmei Ding, Feilong Cao, Zongben Xu	72	(8)
Wavelets Based Neural Network for Function Approximation
Yong Fang, Tommy W.S. Chow	80	(6)
Passivity Analysis of Dynamic Neural Networks with Different Time-Scales
Alejandro Cruz Sandoval, Wen Yu	86	(7)
Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms
Zhiguo Yang, Daoyi Xu, Yumei Huang	93	(7)
Convergence Analysis of Continuous-Time Neural Networks
Min-Jae Kang, Ho-Chan Kim, Farrukh A. Khan, Wang-Cheol Song, Jacek M. Zurada	100	(9)
Global Convergence of Continuous-Time Recurrent Neural Networks with Delays
Weirui Zhao, Huanshui Zhang	109	(6)
Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks
Xiaoxin Liao, Zhigang Zeng	115	(7)
Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay
Yi Shen, Meigin Liu, Xiaodong Xu	122	(7)
New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays
Gang Wang, Hua-Guang Zhang, Chong-Hui Song	129	(6)
Dynamics of General Neural Networks with Distributed Delays
Changyin Sun, Linfeng Li	135	(6)
On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays
Shuyong Li, Yumei Huang, Daoyi Xu	141	(6)
Stability Analysis of Neutral Neural Networks with Time Delay
Hanlin He, Xiaoxin Liao	147	(6)
Global Asymptotical Stability in Neutral-Type Delayed Neural Nil works with Reaction-Diffusion Terms
Jianlong Qiu, Jinde Cao	153	(6)
Almost Sure Exponential Stability on Interval Stochastic Neural Net works with Time-Varying Delays
Wudai Liao, Zhongsheng Wang, Xiaoxin Liao	159	(6)
Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process
Xuyang Lou, Baotong Cui	165	(7)
Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations
Li Xie, Tianming Liu, Guodong Lu, Jilin Liu, Stephen T.C. Wong	172	(7)
Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays
Jun Xu, Daoying Pi, Yong- Yan Cao	179	(6)
Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses
Yongqing Yang	185	(7)
Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays
Tianping Chen, Wenlian Lu	192	(6)
LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays
Ce Ji, Hua-Guang Zhang, Chong-Hui Song	198	(6)
Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen-Grossberg Neural Networks
Tianping Chen, Lili Wang, Changlei Ren	204	(7)
A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks
Li-qun Zhou, Guang-da Hu	211	(6)
Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays
Weifan Zheng, Jiye Zhang, Weihua Zhang	217	(7)
Exponential Stability of Delayed Stochastic Cellular Neural Networks
Wudai Liao, Yulin Xu, Xiaoxin Liao	224	(6)
Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses
Chaojin Fu, Boshan Chen	230	(6)
Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays
Jiye Zhang, Dianbo Ren, Weihua Zhang	236	(7)
Stability of Fuzzy Cellular Neural Networks with Impulses
Tingwen Huang, Marco Roque-Sol	243	(6)
Absolute Stability of Hopfield Neural Network
Xiaoxin Liao, Fei Xu, Pei Yu	249	(6)
Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching
Bingji Xu, Qun Wang	255	(6)
Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays
Wei Zhu, Daoyi Xu	261	(6)
Convergence Analysis of Discrete Delayed Hopfield Neural Networks
Sheng-Rui Zhang, Run-Nian Ma	267	(6)
An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay
Minghui Jiang, Yi Shen, Xiaoxin Liao	273	(6)
Existence of Periodic Solution of BAM Neural Network with Delay and Impulse
Hui Wang, Xiaofeng Liao, Chuandong Li, Degang Yang	279	(6)
On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback
Min Xiao, Jinde Cao	285	(6)
Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons
Hong Qu, Zhang Yi	291	(6)
Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales
Wentong Liao, Linshan Wang	297	(6)
Global Synchronization of Impulsive Coupled Delayed Neural Networks
Jin Zhou, Tianping Chen, Lan Xiang, Meichun Liu	303	(6)
Synchronization of a Class of Coupled Discrete Recurrent Neural Net works with Time Delay
Ping Li	309	(7)
Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network
Yan Huang, Xiao-Song Yang	316	(6)
Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network
Hongwei Wang, Hong Gu	322	(6)
Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons
Haigeng Luo, Xiaohong Xu, Xiaoxin Liao	328	(6)
Autapse Modulated Bursting
Luang-Hong Wang, Ping Jiang	334	(10)
Neurodynamic Optimization
A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset
Guocheng Li, Shiji Song, Cheng Wu, Zifang Du	344	(6)
Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset
Shiji Song, Guocheng Li, Xiaohong Guan	350	(9)
A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints
Fuye Feng, Yong Xia, Quanju Zhang	359	(10)
A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints
Qingshan Liu, Jun Wang, Jinde Cao	369	(10)
Wavelet Chaotic Neural Networks and Their Application to Optimization Problems
Yao-qun Xu, Ming Sun, Guangren Duan	379	(6)
A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy
Ling Qin, Yixin Chen, Ling Chen, Yuan Yao	385	(6)
A New Neural Network Approach to the Traveling Salesman Problem
Paulo Henrique Siqueira, Sérgio Scheer, Maria Teresinha Arns Steiner	391	(8)
Dynamical System for Computing Largest Generalized Eigenvalue
Lijun Liu, Wei Wu	399	(6)
A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices
Yiguang Liu, Zhisheng You	405	(9)
Learning Algorithms
A Novel Stochastic Learning Rule for Neural Networks
Frank Emmert-Streib	414	(10)
Learning with Single Quadratic Integrate-and-Fire Neuron
Deepak Mishra, Abhishek Yadav, Prem K. Kalra	424	(6)
Manifold Learning of Vector Fields
Hongyu Li, I-Fan Shen	430	(6)
Similarity Measure for Vector Field Learning
Hongyu Li, I-Fan Shen	436	(6)
The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm
Jinwen Ma, Bin Cao	442	(6)
Dynamic Competitive Learning
Seongwon Cho, Jaemin Kim, Sun-Tae Chung	448	(8)
Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks
Jinwuk Seok, Seongwon Cho, Jaemin Kim	456	(8)
A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection
Zhiwu Lu, Jinwen Ma	464	(6)
Self-organizing Neural Architecture for Reinforcement Learning
Ah-Hwee Tan	470	(6)
On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces
SeungGwan Lee	476	(6)
Combining Label Information and Neighborhood Graph for Semi-supervised Learning
Lianwei Zhao, Siwei Luo, Mei Tian, Chao Shao, Hongliang Ma	482	(7)
A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System
Liang Liu, Naigong Yu, Mingxiao Ding, Xiaogang Ruan	489	(7)
An Optimal Iterative Learning Scheme for Dynamic Neural Network toddling
Lei Guo, Hong Wang	496	(6)
Delayed Learning on Internal Memory Network and Organizing Internal States
Toshinori Deguchi, Naohiro Ishii	502	(7)
A Novel Learning Algorithm for Feedforward Neural Networks
Huawei Chen, Fan Jin	509	(6)
On Hinfinity Filtering in Feedforward Neural Networks Training and Pruning
He-Sheng Tang, Song-Tao Xue, Hong Chen	515	(9)
A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks
Jinhua Xu, Daniel W.C. Ho	524	(6)
A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse
E.J. Teoh, C. Xiang, K. Cheng Tan	530	(7)
A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning
Hai Zhao, Bao-Liang Lu	537	(8)
Selective Neural Network Ensemble Based on Clustering
Haixia Chen, Senmiao Yuan, Kai Jiang	545	(6)
An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks
Songsong Li, Toshimi Okada, Xiaorning Chen, Zheng Tang	551	(7)
Training Cellular Neural Networks with Stable Learning Algorithm
Marco A. Moreno-Armendariz, Giovanni Egidio Pazienza, Wen Yu	558	(6)
A New Stochastic PSO Technique for Neural Network Training
Yangmin Li, Xin Chen	564	(6)
A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training
Ben Niu, Yun-Long Zhu, Xiao-Xian He	570	(7)
Training RBF Neural Network with Hybrid Particle Swarm Optimization
Haichang Gao, Boqin Feng, Yun Hou, Li Zhu	577	(7)
Robust Learning by Self-organization of Nonlinear Lines of Attractions
Ming-Jung Seow, Vijayan K. Asari	584	(6)
Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System
Kai Zhang, Gen-Zhi Guan, Fang-Fang Chen, Lin Zhang, Zhi-Ye Du	590	(9)
Q-Learning with FCMAC in Multi-agent Cooperation
Kao-Shing Hwang, Yu-Jen Chen, Tzung-Feng Lin	599	(8)
Q Learning Based on Self-organizing Fuzzy Radial Basis Function Network
Xuesong Wang, Yuhu Cheng, Wei Sun	607	(9)
A Fuzzy Neural Networks with Structure Learning
Haisheng Lin, Xiao Zhi Gao, Xianlin Huang, Zhuoyue Song	616	(7)
Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification
Mariela Cerrada, Jose Aguilar, André Titli	623	(8)
A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine
Fei Han, Tat-Ming Lok, Michael R. Lyu	631	(6)
Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision
Junseok Lim, Koeng Mo Sung, Joonil Song	637	(7)
Evolutionary Extreme Learning Machine – Based on Particle Swarm Optimization
You Xu, Yang Shu	644	(9)
A Gradient-Based ELM Algorithm in Regressing Multi-variable Functions
You Xu	653	(6)
A New Genetic Approach to Structure Learning of Bayesian Networks
Jaehun Lee, Wooyong Chung, Euntai Kim	659	(10)
Model Design
Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs
Shoujue Wang, Singsing Liu, Wenming Cao	669	(7)
Output PDF Shaping of Singular Weights System: Monotonical Performance Design
Hong Yue, Aurelie J.A. Leprand, Hong Wang	676	(7)
Stochastic Time-Varying Competitive Neural Network Systems
Yi Shen, Meiqin Liu, Xiaodong Xu	683	(6)
Heterogeneous Centroid Neural Networks
Dong-Chul Park, Duc-Hoai Nguyen, Song-Jae Lee, Yunsik Lee	689	(6)
Building Multi-layer Small World Neural Network
Shuzhong Yang, Siwei Luo, Jianyu Li	695	(6)
Growing Hierarchical Principal Components Analysis Self-Organizing Map
Stones Lei Zhang, Zhang Yi, Jian Cheng Lv	701	(6)
Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory
Audrey Gavrilov, Young-Koo Lee, Sungyoung Lee	707	(7)
Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms
Yan-Peng Liu, Ming-Guang Wu, Ji-Xin Qian	714	(9)
A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural Network
Doug-Sun Kim, Hyun-Sik Kim, Duck-Jin Chung	723	(9)
A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion
Yunhui Liu, Siwei Luo, Zhang Lv, Hua Huang	732	(7)
A Parallel Coevolutionary Immune Neural Network and Its Application to Signal Simulation
Zhu-Hong Zhang, Xin Tu, Chang-Gen Peng	739	(8)
A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm Optimization
Ji-Xiang Du, Chuan-Min Zhai, Zeng-Fu Wang, Guo-Jun Zhang	747	(5)
Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm
Ming Ma, Li-Biao Zhang, Jie Ma, Chun-Guang Zhou	752	(10)
Fuzzy Rule Extraction Using Robust Particle Swarm Optimization
Sumitra Mukhopadhyay, Ajit K. Mandal	762	(6)
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms
Seok-Beoni Roh, Sung-Kwun Oh, Tae-Chon Ahn	768	(6)
Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System
Sung-Kwun Oh, In-Tae Lee, Jeoung-Nae Choi	774	(6)
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis
Ho-Sung Park, Sung-Kwun Oh, Tae-Chop Ahn	780	(6)
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz	786	(6)
A New Fuzzy ART Neural Network Based on Dual Competition and Resonance Technique
Zhang, Guoyou Wang, Wentao Wang	792	(6)
Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks
Chang-Wook Han, Jung-Il Park	798	(6)
A New Fuzzy Identification Method Based on Adaptive Critic Designs
Huaguang Zhang, Yanhong Luo, Derong Liu	804	(6)
Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms
Wei-Hong Xu, Guo-Ping Chen, Zhong-Ke Xie	810	(8)
Alpha-Beta Associative Memories for Gray Level Patterns
Cornelio Yáñez-Márquez, Luis P. Sánchez-Fernández, Itzamá López-Yáñez	818	(6)
Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates
Zhigang Zeng, Jun Wang	824	(6)
Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means
Roy Kwang Yang Chang, Chu Kiong Loo, Machayaram V.C. Rao	830	(7)
Selecting Variables for Neural Network Committees
Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas	837	(6)
An Adaptive Network Topology for Classification
Qingyu Xiong, Jian Huang, Xiaodong Xian, Qian Xiao	843	(6)
A Quantitative Comparison of Different MLP Activation Functions in Classification
Emad A.M. Andrews Shenouda	849	(9)
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition
Eu Jin Teoh, Cheng Xiang, Kay Chen Tan	858	(8)
Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network
Jiang Zhong, Chun Xiao Ye, Yong Feng, Ying Zhou, Zhong Fu Wu	866	(7)
Hierarchical Radial Basis Function Neural Networks for Classification Problems
Yuehui Chen, Lizhi Peng, Ajith Abraham	873	(7)
Biased Wavelet Neural Network and Its Application to Streamflow Forecast
Fang Liu, Jian-Zhong Zhou, Fang-Peng QM, Jun-Jie Yang	880	(9)
A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron Classifiers
Yanlai Li, Kuanquan Wang, Tao Li	889	(6)
SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle
Zhou Yang, Wenjie Zhu, Liang Ji	895	(8)
Flexible Neural Tree for Pattern Recognition
Hai-Jun Li, Zheng-Xuan Wang, Li-Min Wang, Sen-Miao Yuan	903	(6)
A Novel Model of Artificial Immune Network and Simulations on Its Dynamics
Lei Wang, Yinling Nie, Weike Nie, Licheng Jiao	909	(6)
Kernel Methods
A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion
Bo Chen, Honguiei Liu, Zheng Bao	915	(7)
Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison
Bo Jin,Yan-Qing Zhang	922	(6)
Support Vector Machines with Beta-Mixing Input Sequences
Luoqing Li, Chenggao Wan	928	(8)
Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set
Fangfang Wu, Yinliang Zhao	936	(6)
A Smoothing Multiple Support Vector Machine Model
Huihong Jin, Zh,iqing Meng, Xuanxi Ning	942	(7)
Fuzzy Support Vector Machines Based on Spherical Regions
Hong-Bing Liu, Sheng-Wu Xiong, Xiao-Xiao Niu	949	(6)
Building Support Vector Machine Alternative Using Algorithms of Computational Geometry
Marek Bundzel, Tomáš Kasanický, Baltazár Frankovic	955	(7)
Cooperative Clustering for Training SVMs
Shengfen Tian, Shaomin Mu, Chuanhuan Yin	962	(6)
SVMV - A Novel Algorithm for the Visualization of SVM Classification
Xiaohong Wang, Sitao Wu, Xiaoru Wang, Qunzhan Li	968	(6)
Support Vector Machines Ensemble Based on Fuzzy Integral for Classification
Genting Yan, Guangfu Ma, Liangkuan Zhu	974	(7)
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem
Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang	981	(10)
SVDD-Based Method for Fast Training of Multi-class Support Vector Classifier
Woo-Sung Kang, Ki Hong Im, Jin Young Choi	991	(6)
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification
130 Liu, Xiaowei Yang, Zhifeng Hao	997	(7)
A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm
Jianhua Xu	1004	(6)
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines
Jing-Qing Jiang, Chu- Yi Song, Chun-Guo Wu, Yang-Chun Liang, Xiao-Wei Yang, Zhi-Feng Hao	1010	(6)
Sparse Least Squares Support Vector Machine for Function Estimation
Liang-zhi Gan, Hai-kuan Liu, You-xian Sun	1016	(6)
A Multiresolution Wavelet Kernel for Support Vector Regression
Feng-Qing Han, Da-Cheng Wang, Chuan-Dong Li, Xiao-Feng Liao	1022	(8)
Multi-scale Support Vector Machine for Regression Estimation
Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei	1030	(8)
Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel
Dong-Chul Park, Chung Nguyen Tran, Sancho Park	1038	(6)
An Efficient Similarity-Based Validity Index for Kernel Clustering Algorithm
Yun- Wei Pu, Ming Zhu, Wei-Dong Jin, Lai-Zhao Hu	1044	(6)
Fuzzy Support Vector Clustering
En-Hui Zheng, Min Yang, Ping Li, Zhi-Huan Song	1050	(7)
An SVM Classification Algorithm with Error Correction Ability Applied to Face Recognition
Chengbo Wang, Chengan Guo	1057	(6)
A Boosting SVM Chain Learning for Visual Information Retrieval
Zejian Yuan, Lei Yang, Yanyun Qu, Yuehu Liu, Xinchun Jia	1063	(7)
Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection
Bo Wu, Liangpei Zhang, Pingxiang Li, Jinmu Zhang	1070	(6)
A New Proximal Support Vector Machine for Semi-supervised Classification
Li Sun, Ling Jing, Xiaodong Xia	1076	(7)
Sparse Gaussian Processes Using Backward Elimination
Liefeng Bo, Ling Wang, Licheng Jiao	1083	(6)
Comparative Study of Extreme Learning Machine and Support Vector Machine
Xun-Kai Wei, Ying-Hong Li, Yue Feng	1089	(7)
ICA and BSS
Multi-level Independent Component Analysis
Woong Myung Kim, Chan Ho Park, Hyon Soo Lee	1096	(7)
An ICA Learning Algorithm Utilizing Geodesic Approach
Tao Yu, Huai-Zong Shao, Qi-Cong Peng	1103	(6)
An Extended Online Fast-ICA Algorithm
Gang Wang, Ni-ni Rao, Zhi-lin Zhang, Quanyi Mo, Pu Wang	1109	(6)
Gradient Algorithm for Nonnegative Independent Component Analysis
Shangming Yang	1115	(6)
Unified Parametric and Non-parametric ICA Algorithm for Arbitrary
Fasong Wang, Hongwei Li, Rui Li, Shaoquan Yu	1121	(6)
A Novel Kurtosis-Dependent Parameterized Independent Component Analysis Algorithm
Xiao-fei Shi, Ji-dong Suo, Chang Liu, Li Li	1127	(6)
Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis
Gang Wang, Xin Xu, Dewen Hu	1133	(7)
Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm
Mao Ye, Xue Li, Chengfu Yang, Zengan Gao	1140	(7)
A Novel Algorithm for Blind Source Separation with Unknown Sources Number
Ji-Min Ye, Shun-Tian Lou, Hai-Hong Jin, Xian-Da Zhang	1147	(6)
Blind Source Separation Based on Generalized Variance
Gaoming Huang, Luxi Yang, Zhenya He	1153	(6)
Blind Source Separation with Pattern Expression NMF
Junying Zhang, Zhang Hongyi, Le Wei, Yue Joseph Wang	1159	(6)
Nonlinear Blind Source Separation Using Hybrid Neural Networks
Chun-Hou Zhang, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok	1165	(6)
Identification of Mixing Matrix in Blind Source Separation
Xiaolu Li, Zhaoshui He	1171	(6)
Identification of Independent Components Based on Borel Measure for Under-Determined Mixtures
Wenqiang Guo, Tianshuang Qiu, Yuzhang Zhao, Daifeng Zha	1177	(6)
Estimation of Delays and Attenuations for Underdetermined BSS in Frequency Domain
Ronghua Li, Ming Xiao	1183	(6)
Application of Blind Source Separation to Five-Element Cross Array Passive Location
Gaoming Huang, Yang Gao, Luxi Yang, Zhenya He	1189	(6)
Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method
Hua Zhang, Dazhang Feng	1195	(7)
Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method
Bin Xia, Liqing Zhang	1202	(6)
Two-Stage Blind Deconvolution for V-BLAST OFDM System
Feng Jiang, Liqing Zhang, Bin Xia	1208	(6)
Data Preprocessing
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models
Xuelei Hu, Lei Xu	1214	(8)
Adaptive Support Vector Clustering for Multi-relational Data Mining
Ping Ling, Chun-Guang Zhou	1222	(9)
Robust Data Clustering in Mercer Kernel-Induced Feature Space
Xulei Yang, Qing Song, Meng-Joo Er	1231	(7)
Pseudo-density Estimation for Clustering with Gaussian Processes
Hyun-Chul Kim, Jaewook Lee	1238	(6)
Clustering Analysis of Competitive Learning Network for Molecular Data
Lin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith	1244	(6)
Self-Organizing Map Clustering Analysis for Molecular Data
Lin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith	1250	(6)
A Conscientious Rival Penalized Competitive Learning Text Clustering
Mao-ting, Zheng-ou Wang	1256	(5)
Self Organizing-Map-Based Metamodeling for Massive Text Data
Kin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang	1261	(6)
Ensemble Learning for Keyphrases Extraction from Scientific Document
Jiabing Wang, Hong Peng, Jing-song Hu, Jun Zhang	1267
Grid-based Fuzzy Support Vector Data Description
Yugang Fan, Ping Li, Zhihuan Song	1273	(7)
Developinent of the Hopfield Neural Scheme for Data Association in Multi-target Tracking
Yang Weon Lee	1280	(6)
Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Network
Dung Sun, Yong Deng	1286	(7)
Scientific Data Lossless Compression Using Fast Neural Network
Jun-Lin Zhou, Yan Fu	1293	(6)
HyperSurface Classifiers Ensemble for High Dimensional Data Sets
Xiu-Rong Zhao, Qing He, Zhong-Zhi Shi	1299	(6)
Designing a Decompositional Rule Extraction Algorithm for Neural Networks
Jen-Cheng Chen, Jia-Sheng Heh, Maiga Chang	1305	(7)
Estimating Fractal Intrinsic Dimension from the Neighborhood
Qutang Cai, Changshui Zhang	1312	(7)
Dimensionality Reduction for Evolving RBF Networks with Particle Swarms
Junying Chen, Zheng Qin	1319	(7)
Improved Locally Linear Embedding Through New Distance Computing
Heyong Wang, Jie Zheng, Zhengan Yao, Lei Li	1326	(8)
An Incremental Linear Discriminant Analysis Using Fixed Point Method
Dongyue Chen, Liming Zhang	1334	(6)
A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm
Junseok Lim, Joonil Song, Yonggook Pyeon	1340	(6)
Classification with the Hybrid of Manifold Learning and Gabor Wavelet
Jumping Zhang, Chao Shen, Jufu Feng	1346	(6)
A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection
Xi-Zhao Wang, Hui Zhang	1352	(7)
Using Ensemble Feature Selection Approach in Selecting Subset with Relevant Features
Mohammed Attik	1359	(8)
A New Method for Feature Selection
Yan Wu, Yang Yang	1367	(6)
Improved Feature Selection Algorithm Based on SVM and Correlation
Zong-Xia Xie, Qing-Hua Hu, Da-Ren Ye	1373	(8)
Feature Selection in Text Classification Via SVM and LSI
Zigiang Wang, Dexian Zhang	1381	(6)
Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines
Qijun Zhao, Hongtao Lu, David Zhang	1387	(7)
Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients
Hui Zhang, Ta Bao Ho, Mao-Song Lin, Xuefeng Liang	1394	(6)
Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMF
Gang Liu, Xi-Hai Li, Dai-Zhi Liu, Wei-Gang Zhai	1400	(6)
Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets
Feng Zhu, Yafeng Hu, Xianda Zhang, Deguang Xie	1406	(6)
Application of Self-organizing Feature Neural Network for Target Feature Extraction
Dong-hong Liu, Zhi-jie Chen, Wen-long Hu, Yong-shun Zhang	1412	(9)
Divergence-Based Supervised Information Feature Compression Algorithm
Shi Ding, Zhong-Zhi Shi	1421	(6)
Author Index	1427