Hardcover. Condition: Used - Very Good. Physica-Verlag, Heidelberg, copyright 2001. xix, 360 pages. Illustrated. 9.5 x 6.5", hardcover, no dj. No dj, clean, tight, very good/none.
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Published by Physica-Verlag Heidelberg, 2001
ISBN 10: 3790813680 ISBN 13: 9783790813685
Language: English
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Published by Physica-Verlag HD Mär 2001, 2001
ISBN 10: 3790813672 ISBN 13: 9783790813678
Language: English
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Add to basketBuch. Condition: Neu. Neuware -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, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
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Published by Springer Nature B.V., 2014
ISBN 10: 3662003597 ISBN 13: 9783662003596
Language: English
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Published by Springer Nature B.V., 2014
ISBN 10: 3662003597 ISBN 13: 9783662003596
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Published by Physica-Verlag, Physica-Verlag HD, Physica Okt 2010, 2010
ISBN 10: 3790824828 ISBN 13: 9783790824827
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers. 318 pp. Englisch.
Published by Physica-Verlag, Physica-Verlag HD, Physica Mrz 2011, 2011
ISBN 10: 3790824836 ISBN 13: 9783790824834
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 360 pp. Englisch.