Advances in Neural Network Research and Applications

  • Zhigang Zeng
  • Jun Wang

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 67)

Table of contents

  1. Front Matter
  2. Prediction and Forecasting

    1. Huifen Niu, Cuiling Liu, Jinqi Wang, Xiaowen Sun
      Pages 21-27
    2. Jianhua Zhang, Jingyue Wang, Rui Wang, Guolian Hou
      Pages 47-53
    3. Ming-Feng Yeh, Chia-Ting Chang, Min-Shyang Leu
      Pages 91-100
    4. Tao Liu, Li Shang, Zhifeng Hu
      Pages 101-108
  3. Fuzzy Neural Networks

About this book


This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. ISNN 2010 received numerous submissions from about thousands of authors in about 40 countries and regions across six continents . Based on the rigorous peer-reviews by the program committee members and the reviewers, 108 high-quality papers were selected for publications in Lecture Notes in Electrical Engineering (LNEE) Proceedings. These papers cover all major topics of the engineering designs and applications of neural network research. In addition to the contributed papers, the ISNN 2010 technical program included four plenary speeches by Andrzej Cichocki (RIKEN Brain Science Institute, Japan), Chin-Teng Lin (National Chiao Tung University, Taiwan), DeLiang Wang (Ohio State University, USA), Gary G. Yen (Oklahoma State University, USA).


Transport cognition electrical engineering fuzzy image processing neural network optimization pattern recognition quality robot robotics

Editors and affiliations

  • Zhigang Zeng
    • 1
  • Jun Wang
    • 2
  1. 1.Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhanChina
  2. 2.Department of Mechanical & Automation EngineeringThe Chinese University of Hong KongHong Kong

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-12989-6
  • Online ISBN 978-3-642-12990-2
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • About this book