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Concepts for Neural Networks

A Survey

  • Book
  • © 1998

Overview

  • The scope of the book means that it will be of interest to a wide range of readers within neural networks - There are currently no other volumes available which provide such broad and comprehensive coverage of the topic - The book focuses specifically on applications of neural networks in the area of robotics

Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)

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Table of contents (11 chapters)

Keywords

About this book

Concepts for Neural Networks - A Survey provides a wide-ranging survey of concepts relating to the study of neural networks. It includes chapters explaining the basics of both artificial neural networks and the mathematics of neural networks, as well as chapters covering the more philosophical background to the topic and consciousness. There is also significant emphasis on the practical use of the techniques described in the area of robotics. Containing contributions from some of the world's leading specialists in their fields (including Dr. Ton Coolen and Professor Igor Aleksander), this volume will provide the reader with a good, general introduction to the basic concepts needed to understan d and use neural network technology.

Editors and Affiliations

  • Department of Mathematics, Kings College, London, UK

    L. J. Landau

  • Centre for Neural Networks, Department of Mathematics, Kings College, London, UK

    J. G. Taylor

Bibliographic Information

  • Book Title: Concepts for Neural Networks

  • Book Subtitle: A Survey

  • Editors: L. J. Landau, J. G. Taylor

  • Series Title: Perspectives in Neural Computing

  • DOI: https://doi.org/10.1007/978-1-4471-3427-5

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 1998

  • Softcover ISBN: 978-3-540-76163-1Published: 12 November 1997

  • eBook ISBN: 978-1-4471-3427-5Published: 06 December 2012

  • Series ISSN: 1431-6854

  • Edition Number: 1

  • Number of Pages: XVI, 312

  • Topics: Artificial Intelligence, Complexity

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