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In den WarenkorbHardcover. Zustand: 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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Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2001
ISBN 10: 3790813680 ISBN 13: 9783790813685
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. The Radial Basis Function (RBF) network has gained in popularity in recent years. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2011
ISBN 10: 3790824836 ISBN 13: 9783790824834
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. The Radial Basis Function (RBF) network has gained in popularity in recent years. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2010
ISBN 10: 3790824828 ISBN 13: 9783790824827
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 2001
ISBN 10: 3790813672 ISBN 13: 9783790813678
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Verlag: Physica-Verlag HD Mär 2001, 2001
ISBN 10: 3790813672 ISBN 13: 9783790813678
Sprache: Englisch
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In den WarenkorbBuch. Zustand: 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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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010
ISBN 10: 3790824828 ISBN 13: 9783790824827
Sprache: Englisch
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In den WarenkorbZustand: New. Editor(s): Howlett, Robert J.; Jain, Prof. Lakhmi C. Series: Studies in Fuzziness and Soft Computing. Num Pages: 336 pages, 14 black & white tables, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 516. . 2010. Softcover reprint of hardcover 1st ed. 2001. Paperback. . . . .
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010
ISBN 10: 3790824836 ISBN 13: 9783790824834
Sprache: Englisch
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In den WarenkorbZustand: New. Series: Studies in Fuzziness and Soft Computing. Num Pages: 360 pages, 28 black & white tables, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 20. Weight in Grams: 587. . 2010. Softcover reprint of the original 1st ed. 2001. Paperback. . . . .
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2001
ISBN 10: 3790813672 ISBN 13: 9783790813678
Sprache: Englisch
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EUR 227,84
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In den WarenkorbZustand: New. 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. . 2001. Hardback. . . . .
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2001
ISBN 10: 3790813680 ISBN 13: 9783790813685
Sprache: Englisch
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
EUR 229,20
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In den WarenkorbZustand: New. Providing a comprehensive survey of developments in the area of RBF networks, this volume contains a wide range of applications in the laboratory and case studies describing current industrial use. Series: Studies in Fuzziness and Soft Computing. Num Pages: 360 pages, 28 black & white tables, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 22. Weight in Grams: 713. . 2001. Hardback. . . . .