Radial Basis Function Networks 2

New Advances in Design

  • Robert J. Howlett
  • Lakhmi C. Jain

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 67)

Table of contents

  1. Front Matter
    Pages i-xix
  2. J. Ghosh, A. Nag
    Pages 1-36
  3. A. J. Howell
    Pages 103-141
  4. J. M. Hogan, M. Norris, J. Diederich
    Pages 143-165
  5. A. Saastamoinen, M. Lehtokangas, A. Värri, J. Saarinen
    Pages 215-268
  6. Back Matter
    Pages 353-360

About this book


The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.


Neural Networks RBF Radial Basis Function algorithms biomedical engineering classification cognition control gesture recognition online proving robot robotics

Editors and affiliations

  • Robert J. Howlett
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.School of Engineering, Intelligent Signal Processing Laboratories (ISP)University of BrightonMoulsecoomb, BrightonUK
  2. 2.Knowledge-Based Intelligent Engineering Systems CentreUniversity of South AustraliaAdelaide, Mawson LakesAustralia

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2001
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2483-4
  • Online ISBN 978-3-7908-1826-0
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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