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Radial Basis Function Networks 2: New Advances in Design: 67 (Studies in Fuzziness and Soft Computing) - Hardcover
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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.
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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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- VerlagPhysica
- Erscheinungsdatum2001
- ISBN 10 3790813680
- ISBN 13 9783790813685
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten384
- Kontakt zum HerstellerNicht verfügbar
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Radial Basis Function Networks 2
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Radial Basis Function Networks 2
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Radial Basis Function Networks 2
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Radial Basis Function Networks 2: New Advances in Design. Studies in Fuzziness and Soft Computing: Volume 67
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Hardcover. 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. Bestandsnummer des Verkäufers 95519
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Radial Basis Function Networks 2 : New Advances in Design
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Zustand: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 384 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 695529/2
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Radial Basis Function Networks 2 : New Advances in Design
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783790813685
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Radial Basis Function Networks 2. Vol.2
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Physica-Verlag, Physica-Verlag HD, Physica Mrz 2001, 2001
ISBN 10: 3790813680
ISBN 13: 9783790813685
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783790813685
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Radial Basis Function Networks 2
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Buch. Zustand: Neu. 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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch. Bestandsnummer des Verkäufers 9783790813685
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Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing, 67)
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Radial Basis Function Networks 2
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Gebunden. Zustand: New. Contains a wide range of applications in the laboratory and case studies describing current useOverall view of the methods used for the genetic optimization of artificial neural networks and presentation of the inherent problemsThe Radial Basis Func. Bestandsnummer des Verkäufers 5310330
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