Item description for Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing) by Robert J. Howlett...
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.
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Est. Packaging Dimensions: Length: 9.5" Width: 6.4" Height: 1.1" Weight: 1.45 lbs.
Release Date Apr 27, 2001
Publisher Physica-Verlag Heidelberg
ISBN 3790813680 ISBN13 9783790813685
Availability 82 units. Availability accurate as of Jan 24, 2017 08:29.
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