Advances in Neural Networks – ISNN 2014

11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings

  • Zhigang Zeng
  • Yangmin Li
  • Irwin King
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8866)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Analysis

    1. Front Matter
      Pages 1-1
    2. Jianqiang Hu, Jinde Cao, Quanxin Cheng
      Pages 35-42
    3. Yan Liu, Jiawei Chen, Liujun Chen
      Pages 43-50
    4. Longhu Quan, Zhanshan Wang, Xiuchong Liu, Mingguo Zheng
      Pages 100-109
    5. Miroslav Kárný, Karel Macek, Tatiana V. Guy
      Pages 140-149
    6. Xiaojuan Li, Shukai Duan, Lidan Wang, Tingwen Huang, Yiran Chen
      Pages 150-158
    7. Yuanyuan Wu, Jinde Cao
      Pages 159-166

About these proceedings

Introduction

The LNCS volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014.

 

The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research, with particular focus on analysis, modeling, and applications.

Keywords

Algorithms Computing Methodologies Image Processing Machine Learning Neural Networks

Editors and affiliations

  • Zhigang Zeng
    • 1
  • Yangmin Li
    • 2
  • Irwin King
    • 3
  1. 1.WuhanChina
  2. 2.University of MacauMacauMacao
  3. 3.The Chinese University of Hong Kong, Hong KongHong KongHong Kong SAR

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12436-0
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12435-3
  • Online ISBN 978-3-319-12436-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book