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  • © 2007

Trends in Neural Computation

Editors:

  • reflects the latest progresses made in different areas of neural computation
  • provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively
  • includes theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 35)

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Table of contents (20 chapters)

  1. Front Matter

    Pages I-X
  2. Hyperbolic Function Networks for Pattern Classification

    • Kar-Ann Toh, Quoc-Long Tran, Dipti Srinivasan
    Pages 1-33
  3. Selecting Data for Fast Support Vector Machines Training

    • Jigang Wang, Predrag Neskovic, Leon N. Cooper
    Pages 61-84
  4. A Hippocampus-Neocortex Model for Chaotic Association

    • Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi
    Pages 111-133
  5. Learning Mechanisms in Networks of Spiking Neurons

    • QingXiang Wu, Martin McGinnity, Liam Maguire, Bredan Glackin, Ammar Belatreche
    Pages 171-197
  6. GTSOM: Game Theoretic Self-organizing Maps

    • Joseph Herbert, JingTao Yao
    Pages 199-223
  7. An Evolved Recurrent Neural Network and Its Application

    • Chunkai Zhang, Hong Hu
    Pages 265-283
  8. Performance Analysis of Dynamic Cell Structures

    • Yan Liu, Bojan Cukic, Johann Schumann, Michael Jiang
    Pages 367-389
  9. Short Term Electric Load Forecasting: A Tutorial

    • Elias Kyriakides, Marios Polycarpou
    Pages 391-418
  10. The Artificial Neural Network Applied to Servo Control System

    • Yuan Kang, Min-Hwei Chu, Min-Chou Chen
    Pages 461-481

About this book

Nowadays neural computation has become an interdisciplinary field in its own right; researches have been conducted ranging from diverse disciplines, e.g. computational neuroscience and cognitive science, mathematics, physics, computer science, and other engineering disciplines. From different perspectives, neural computation provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively.

Trends in Neural Computation includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation. The edited book aims to reflect the latest progresses made in different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems.

Editors and Affiliations

  • School of Computer Science, The University of Manchester, Manchester, UK

    Ke Chen

  • School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access