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. Ed(S): Howlett, Robert J.; Jain, Prof. Lakhmi C. - Radial Basis Function Networks - 9783790813678 - V9783790813678
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Radial Basis Function Networks

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Description for Radial Basis Function Networks Hardback. Providing a comprehensive survey of developments in the area of RBF networks, this volume covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Editor(s): Howlett, Robert J.; Jain, Prof. Lakhmi C. Series: Studies in Fuzziness and Soft Computing. Num Pages: 318 pages, 14 black & white tables, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 653.
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 1 covers advances in training algorithms, ... Read more

Product Details

Format
Hardback
Publication date
2001
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
318
Condition
New
Series
Studies in Fuzziness and Soft Computing
Number of Pages
318
Place of Publication
Heidelberg, Germany
ISBN
9783790813678
SKU
V9783790813678
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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