Table of contents

  1. Front Matter
  2. Machine Learning and Data Mining

    1. Chun-Xiang Li, Dong-Xiao Niu, Li-Min Meng
      Pages 1-10
    2. Li Liu, Jianzhong Zhou, Xueli An, Yinghai Li, Qiang Liu
      Pages 11-20
    3. Gang Fang, Zukuan Wei, Qian Yin
      Pages 21-29
    4. Yan Liu, Jing Zhang, Xin Meng, John Strassner
      Pages 30-39
    5. Feng Ran, Lian-zhou Wang, Mei-hua Xu
      Pages 50-56
    6. Jundi Ding, Runing Ma, Songcan Chen, Jingyu Yang
      Pages 57-66
    7. Yipeng Zhou, Junping Du, Guangping Zeng, Xuyan Tu
      Pages 67-73
    8. Shaojie Qiao, Changjie Tang, Shucheng Dai, Mingfang Zhu, Binglun Zheng
      Pages 81-90
    9. Jingtao Sun, Qiuyu Zhang, Zhanting Yuan, Wenhan Huang, Xiaowen Yan, Jianshe Dong
      Pages 91-99
  3. Intelligent Control and Robotics

    1. Zhimeng Luo, Jianzhong Zhou, Qingqing Li, Li Liu, Li Yang
      Pages 110-118
    2. Xin Wang, Hui Yang, Shaoyuan Li, Wenxin Liu, Li Liu, David A. Cartes
      Pages 119-127
    3. Zhipeng Shen, Ning Zhang, Chen Guo
      Pages 138-147
    4. Jinliang Ding, Changxin Liu, Ming Wen, Tianyou Chai
      Pages 148-157
    5. Jun Yu, Lun Xie, Zhiliang Wang, Yongxiang Xia
      Pages 158-164
    6. Jinyong Yu, Chuanjin Cheng, Shixing Wang
      Pages 165-170

Other volumes

  1. 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I
  2. Advances in Neural Networks - ISNN 2008
    5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II

About these proceedings

Introduction

The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008.

The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired  methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.

Keywords

Support Vector Machine algorithms data analysis data mining machine learning modeling pattern recognition unsupervised learning

Editors and affiliations

  • Fuchun Sun
    • 1
  • Jianwei Zhang
    • 2
  • Ying Tan
    • 3
  • Jinde Cao
    • 4
  • Wen Yu
    • 5
  1. 1.Department of Computer Science and TechnologyTsinghu UniversityBeijingChina
  2. 2.Institute TAMS (Technical Aspects of Multimodal Systems), department of InformaticsUniversity of HamburgHamburgGermany
  3. 3.Intel China Research Center, 8/FPeking University, Department of Machine IntelligenceBeijingChina
  4. 4.Department of MathematicsSoutheast UniversityNanjingChina
  5. 5.Departamento de Control AutomáticoCINVESTAV-IPN, A.P. 14-740México D.F.México

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-87734-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87733-2
  • Online ISBN 978-3-540-87734-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book