Advances in Neural Networks – ISNN 2004

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

  • Fu-Liang Yin
  • Jun Wang
  • Chengan Guo

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

Table of contents

  1. Front Matter
  2. Theoretical Analysis

    1. Jianjun Wang, ZongBen Xu, Weijun Xu
      Pages 1-6
    2. David Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco B. Rodríguez
      Pages 14-19
    3. Kostadin Koroutchev, David Dominguez Eduardo Serrano, Francisco B. Rodríguez
      Pages 20-25
    4. Xiaodong Gu, Liming Zhang, Daoheng Yu
      Pages 26-31
    5. Changyin Sun, Xunming Li, Chun-Bo Feng
      Pages 32-37
    6. Zhongsheng Wang, Hanlin He, Xiaoxin Liao
      Pages 44-48
    7. Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
      Pages 55-60
    8. Haoyang Tang, Chuandong Li, Xiaofeng Liao
      Pages 61-66
    9. Qiang Zhang, Haijun Wang, Dongsheng Zhou, Xiaopeng Wei
      Pages 72-77
    10. Chuandong Li, Xiaofeng Liao, Yong Chen
      Pages 102-107

Other volumes

  1. Advances in Neural Networks – ISNN 2004
    International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I
  2. International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II

About these proceedings

Introduction

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.

Keywords

cognition computational intelligence control data mining dynamical systems genetic algorithms kernel learning modeling neural networks optimization pattern recognition reinforcement learning robot robotics

Editors and affiliations

  • Fu-Liang Yin
    • 1
  • Jun Wang
    • 2
  • Chengan Guo
    • 3
  1. 1.School of Electronic and Information EngineeringDalian University of TechnologyDalianChina
  2. 2.Department of Mechanical and Automation EngineeringThe Chinese University of Hong Kong, Shatin, New TerritoriesHong KongChina
  3. 3.School of Electronic and Information EngineeringDalian University of TechnologyDalian, LiaoningChina

Bibliographic information

  • DOI https://doi.org/10.1007/b99834
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22841-7
  • Online ISBN 978-3-540-28647-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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