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Advances in Neural Networks - ISNN 2004

International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Fu-Liang Yin

    1. School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China

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  2. Jun Wang

    1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Chengan Guo

    1. School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3173)

Included in the following conference series:

Conference proceedings info: ISNN 2004.

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Table of contents (169 papers)

  1. Front Matter

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  2. Theoretical Analysis

    1. Approximation Bounds by Neural Networks in L ω p [-4pt]

      • Jianjun Wang, ZongBen Xu, Weijun Xu
      Pages 1-6

    2. Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks

      • Bao-Gang Hu, Hong-Jie Xing, Yu-Jiu Yang
      Pages 7-13

    3. Mutual Information and Topology 1: Asymmetric Neural Network

      • David Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco B. Rodríguez
      Pages 14-19

    4. Mutual Information and Topology 2: Symmetric Network

      • Kostadin Koroutchev, David Dominguez Eduardo Serrano, Francisco B. Rodríguez
      Pages 20-25

    5. Simplified PCNN and Its Periodic Solutions

      • Xiaodong Gu, Liming Zhang, Daoheng Yu
      Pages 26-31

    6. On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters

      • Changyin Sun, Xunming Li, Chun-Bo Feng
      Pages 32-37

    7. Delay-Dependent Criteria for Global Stability of Delayed Neural Network System

      • Wenlian Lu, Tianping Chen
      Pages 38-43

    8. Stability Analysis of Uncertain Neural Networks with Delay

      • Zhongsheng Wang, Hanlin He, Xiaoxin Liao
      Pages 44-48

    9. A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays

      • Huaguang Zhang, Gang Wang
      Pages 49-54

    10. Criteria for Stability in Neural Network Models with Iterative Maps

      • Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
      Pages 55-60

    11. Exponential Stability Analysis for Neural Network with Parameter Fluctuations

      • Haoyang Tang, Chuandong Li, Xiaofeng Liao
      Pages 61-66

    12. Local Stability and Bifurcation in a Model of Delayed Neural Network

      • Yiping Lin, Zengrong Liu
      Pages 67-71

    13. On the Asymptotic Stability of Non-autonomous Delayed Neural Networks

      • Qiang Zhang, Haijun Wang, Dongsheng Zhou, Xiaopeng Wei
      Pages 72-77

    14. Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays

      • Kun Yuan, Jinde Cao
      Pages 78-83

    15. Stability of Stochastic Cohen-Grossberg Neural Networks

      • Lin Wang
      Pages 84-89

    16. A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks

      • Anhua Wan, Weihua Mao, Chun Zhao
      Pages 90-95

    17. Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays

      • Ce Ji, Huaguang Zhang, Huanxin Guan
      Pages 96-101

    18. On Robust Stability of BAM Neural Networks with Constant Delays

      • Chuandong Li, Xiaofeng Liao, Yong Chen
      Pages 102-107

    19. Absolutely Exponential Stability of BAM Neural Networks with Distributed Delays

      • Wenjun Xiong, Qiuhao Jiang
      Pages 108-113
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Other volumes

  1. Advances in Neural Networks – ISNN 2004

  2. Advances in Neural Networks - ISNN 2004

Keywords

About this book

This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China during August 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, H- gary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, Venezuela, Chile, and Australia). Based on reviews, the Program Committee selected 329 hi- quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theore- cal analysis; learning and optimization; support vector machines; blind source sepa- tion, independent component analysis, and principal component analysis; clustering and classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators, scientists, and practitioners to the beautiful coastal city Dalian in northeastern China.

Editors and Affiliations

  • School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China

    Fu-Liang Yin

  • Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  • School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Chengan Guo

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