Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing) (v. 2)
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. Search and download Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing) (v. 2) for free. Download Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing) (v. 2) and other books from rapidshare mediafire.
Physica-Verlag 9783790813685 Radial Basis Function Networks 2: New Advances in Design (2001 Edition) Description *Author: Howlett, RJ/ Jain, LC/ Howlett, Robert J. *Series Title: Berliner Schriften Zur Kunst *Series Number: 67 *Binding Type: Hardcover *Number of Pages: 384 *Publication Date: 2001/04/27 *Language: English *Dimensions: 9.21 x 6.14 x 0.88 inches SKU: UBM9783790813685 Payment We accept payment via PayPal, Mastercard, Visa, American Express, Discover and PayPals Bill Me La Find new edition of Radial Basis Function Networks 2 here
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.
Radial Basis Function Networks 2: Advances In Design - Howlett, R. J.
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Radial Basis Function Networks 2 New Advances in Design, ISBN-13: 9783790813685, ISBN-10: 3790813680
Radial Basis Function Networks 2: New Advances in Design Physica-Verlag 9783790813685 09783790813685
"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 dev
Radial Basis Function Networks 2 Download
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 BF 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
