Radial Basis Function Networks 2 : New Advances in Design /

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Bibliographic Details
Author / Creator:	Howlett, Robert J.
Imprint:	Heidelberg : Physica-Verlag HD : Imprint : Physica, 2001.
Description:	1 online resource (xix, 360 pages).
Language:	English
Series:	Studies in Fuzziness and Soft Computing, 1434-9922 ; 67 Studies in fuzziness and soft computing ; 67.
Subject:	Computer science. Artificial intelligence. Optical pattern recognition. Artificial intelligence. Computer science. Optical pattern recognition.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11079039

Hidden Bibliographic Details
Other authors / contributors:	Jain, L. C.
ISBN:	9783790818260 3790818267 9783790824834 3790824836 3790818267
Summary:	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.
Other form:	Print version: 9783790824834
Standard no.:	10.1007/978-3-7908-1826-0

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