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Table of contents

  1. Front Matter
    Pages I-IX
  2. Architectures

  3. Learning Algorithms

  4. Applications

About this book

Introduction

This monograph presents a careful collection of recent research and developments in the field of neural information processing. This includes investigations in the functioning and engineering of biological neural networks and applications of artificial neural networks for solving real-world problems. The book is organized in three parts, architectures, learning algorithms and applications, with a variety of different examples and case studies from different fields such as the visual system, object detection, financial time series prediction, the auditory cortex, and robot manipulator control.

Keywords

algorithm algorithms architecture artificial neural network control development genetic algorithms knowledge base learning network neural network neural networks optimization proving robot

Editors and affiliations

  • Jagath Chandana Rajapakse
    • 1
  • Lipo Wang
    • 1
  1. 1.School of Computer EngineeringNanyang Technological UniversitySingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-39935-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-53564-2
  • Online ISBN 978-3-540-39935-3
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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