Overview
- Contains a wide range of applications in the laboratory and case studies describing current use
- Overall view of the methods used for the genetic optimization of artificial neural networks and presentation of the inherent problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 67)
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About this book
The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. 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 applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. This volume, New Advances in Design, contains a wide range of applications in the laboratory and case-studies describing current use. The sister volume to this one, Recent Developments in Theory and Applications, covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms. The combination of the two volumes will prove extremely useful to practitioners in the field, engineers, researchers, students and technically accomplished managers.
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Accessibility Information
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Bibliographic Information
Book Title: Radial Basis Function Networks 2
Book Subtitle: New Advances in Design
Editors: Robert J. Howlett, Lakhmi C. Jain
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-7908-1826-0
Publisher: Physica Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Hardcover ISBN: 978-3-7908-1368-5Published: 27 March 2001
Softcover ISBN: 978-3-7908-2483-4Published: 27 March 2011
eBook ISBN: 978-3-7908-1826-0Published: 19 March 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIX, 360