Advances in Neural Networks - ISNN 2010

7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I

  • Liqing Zhang
  • Bao-Liang Lu
  • James Kwok
Conference proceedings ISNN 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6063)

Table of contents

  1. Front Matter
  2. Neurophysiological Foundation

  3. Theory and Models

Other volumes

  1. Advances in Neural Networks - ISNN 2010
    7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I
  2. 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II

About these proceedings

Introduction

This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part 1,” covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled “Advance in Neural Networks ISNN 2010, Part 2” covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications.

Keywords

agent-based modeling algorithms artificial neural networks biomedical applications classification complexity component analysis data analysis evolutionary algorithm neural computing neural controll neural optimization neurophsiological foundation performance reinforcement learning

Editors and affiliations

  • Liqing Zhang
    • 1
  • Bao-Liang Lu
    • 2
  • James Kwok
    • 3
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  3. 3.Department of Computer Science and EngineeringThe Hong Kong University of Science and Technology, Clear Water bay, KowloonHong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-13278-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-13277-3
  • Online ISBN 978-3-642-13278-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book