Advances in Neural Networks – ISNN 2009

6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I

  • Wen Yu
  • Haibo He
  • Nian Zhang
Conference proceedings ISNN 2009
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5551)

Table of contents

  1. Front Matter
  2. Theoretical Analysis

    1. Mingchang Li, Guangyu Zhang, Bin Zhou, Shuxiu Liang, Zhaochen Sun
      Pages 1-10
    2. Minfen Shen, Jialiang Chen, Patch J. Beadle
      Pages 21-28
    3. Lihua Feng, Xingcai Zhang
      Pages 29-35
    4. Dong-Chul Park, Vu Thi Lan Huong, Dong-Min Woo, Duong Ngoc Hieu, Sai Thi Hien Ninh
      Pages 52-59
    5. Yong Wang, Dawu Gu, Wei Li, Hongjiao Li, Jing Li
      Pages 60-67
    6. Yiqiao Cai, Jiahai Wang, Jian Yin, Caiwei Li, Yunong Zhang
      Pages 75-83
    7. Hideitsu Hino, Noboru Murata
      Pages 84-93
    8. Jing Wang, Fujun Ren, Mei Zhu, Long Wang
      Pages 94-103
    9. Xiankun Zhang, Minghu Ha, Jing Wu, Chao Wang
      Pages 110-117
    10. Ming-Feng Yeh, Kuang-Chiung Chang
      Pages 118-127

Other volumes

  1. Advances in Neural Networks – ISNN 2009
    6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I
  2. 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II
  3. 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part III

About these proceedings

Introduction

The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009.

The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.

Keywords

algorithm algorithms artificial intelligence classification communication fuzzy fuzzy system genetic algorithms image processing learning machine learning modeling optimization robot robotics

Editors and affiliations

  • Wen Yu
    • 1
  • Haibo He
    • 2
  • Nian Zhang
    • 3
  1. 1.Departamento de Control AutomáticoCINVESTAV-IPN, A.P. 14-740, Av.IPN 2508México D.F.México
  2. 2.Deptartment of Electrical and Computer EngineeringStevens Institute of TechnologyHobokenUSA
  3. 3.Dept. of Electrical and Computer EngineeringSouth Dakota School of Mines & TechnologyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01507-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01506-9
  • Online ISBN 978-3-642-01507-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book