Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I | SpringerLink
Skip to main content
Springer Nature Link
Log in

Advances in Neural Networks - ISNN 2006

Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Jun Wang

    1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Zhang Yi

    1. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jacek M. Zurada

    1. Department of Electrical Engineering, University of Louisville, Louisville, U.S.A

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Bao-Liang Lu

    1. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, Shanghai, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Hujun Yin

    1. School of Electrical and Electronic Engineering, University of Manchester, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3971)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ISNN 2006.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook JPY 11439
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book JPY 14299
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book and its sister volumes constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, UK, Ireland, Canada, USA, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).

Similar content being viewed by others

Keywords

Table of contents (211 papers)

  1. Front Matter

    Download chapter PDF

  2. Neurobiological Analysis

    1. The Ideal Noisy Environment for Fast Neural Computation

      • Si Wu, Jianfeng Feng, Shun-ichi Amari
      Pages 1-6

    2. How Does a Neuron Perform Subtraction? – Arithmetic Rules of Synaptic Integration of Excitation and Inhibition

      • Xu-Dong Wang, Jiang Hao, Mu-Ming Poo, Xiao-Hui Zhang
      Pages 7-14

    3. Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver

      • Jun Liu, Jian Wu, Zhengguo Lou, Guang Li
      Pages 15-20

    4. A Gaussian Dynamic Convolution Models of the FMRI BOLD Response

      • Huafu Chen, Ling Zeng, Dezhong Yao, Qing Gao
      Pages 21-26

    5. Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion

      • Mingxiao Ding, Naigong Yu, Xiaogang Ruan
      Pages 27-33

    6. A Model of Category Learning with Attention Augmented Simplistic Prototype Representation

      • Toshihiko Matsuka
      Pages 34-40

    7. On the Learning Algorithms of Descriptive Models of High-Order Human Cognition

      • Toshihiko Matsuka, Arieta Chouchourelou
      Pages 41-49

    8. A Neural Model on Cognitive Process

      • Rubin Wang, Jing Yu, Zhi-kang Zhang
      Pages 50-59

  3. Theoretical Analysis

    1. Approximation Bound of Mixture Networks in \(L^{p}_{\omega}\) Spaces

      • Zongben Xu, Jianjun Wang, Deyu Meng
      Pages 60-65

    2. Integral Transform and Its Application to Neural Network Approximation

      • Feng-jun Li, Zongben Xu
      Pages 66-71

    3. The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units

      • Chunmei Ding, Feilong Cao, Zongben Xu
      Pages 72-79

    4. Wavelets Based Neural Network for Function Approximation

      • Yong Fang, Tommy W. S. Chow
      Pages 80-85

    5. Passivity Analysis of Dynamic Neural Networks with Different Time-Scales

      • Alejandro Cruz Sandoval, Wen Yu
      Pages 86-92

    6. Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms

      • Zhiguo Yang, Daoyi Xu, Yumei Huang
      Pages 93-99

    7. Convergence Analysis of Continuous-Time Neural Networks

      • Min-Jae Kang, Ho-Chan Kim, Farrukh A. Khan, Wang-Cheol Song, Jacek M. Zurada
      Pages 100-108

    8. Global Convergence of Continuous-Time Recurrent Neural Networks with Delays

      • Weirui Zhao, Huanshui Zhang
      Pages 109-114

    9. Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks

      • Xiaoxin Liao, Zhigang Zeng
      Pages 115-121

    10. Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay

      • Yi Shen, Meiqin Liu, Xiaodong Xu
      Pages 122-128

    11. New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays

      • Gang Wang, Hua-Guang Zhang, Chong-Hui Song
      Pages 129-134
Back to top

Other volumes

  1. Advances in Neural Networks - ISNN 2006

  2. Advances in Neural Networks - ISNN 2006

  3. Advances in Neural Networks - ISNN 2006

Reviews

From the reviews:

"It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. … a useful resource for scientists and educators interested in the field of NN systems … . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. … The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community." (M. Caramihai, Computing Reviews, December, 2006)

Editors and Affiliations

  • Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  • Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

    Zhang Yi

  • Department of Electrical Engineering, University of Louisville, Louisville, U.S.A

    Jacek M. Zurada

  • Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, Shanghai, China

    Bao-Liang Lu

  • School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation