Articoli correlati a Sensitivity Analysis for Neural Networks
Sinossi
This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perception neural networks and radial basis function neural networks.
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“Neural Networks are seen as an information paradigm inspired by the way the human brain processes information. ... The book may be used by researchers in diverse domains, such as neural networks, machine learning, computer engineering, etc., facing problems connected to sensitivity analysis of neural networks.” (Florin Gorunescu, Zentralblatt MATH, Vol. 1189, 2010)Contenuti
to Neural Networks.- Principles of Sensitivity Analysis.- Hyper-Rectangle Model.- Sensitivity Analysis with Parameterized Activation Function.- Localized Generalization Error Model.- Critical Vector Learning for RBF Networks.- Sensitivity Analysis of Prior Knowledge1.- Applications.
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Sensitivity Analysis for Neural Networks
Editore:
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Da: Buchpark, Trebbin, Germania
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Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 96 | Sprache: Englisch | Produktart: Bücher. Codice articolo 11879136/1
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Sensitivity Analysis for Neural Networks
Editore:
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
Antico o usato
Brossura
Da: Buchpark, Trebbin, Germania
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 96 | Sprache: Englisch | Produktart: Bücher. Codice articolo 11879136/2
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Sensitivity Analysis for Neural Networks
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensiti. Codice articolo 5054213
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Sensitivity Analysis for Neural Networks
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Springer Berlin Heidelberg Mrz 2012, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters. This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks. 96 pp. Englisch. Codice articolo 9783642261398
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Sensitivity Analysis for Neural Networks
Editore:
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters. This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks. Codice articolo 9783642261398
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Sensitivity Analysis for Neural Networks
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters.This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 96 pp. Englisch. Codice articolo 9783642261398
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Sensitivity Analysis for Neural Networks (Natural Computing Series)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9783642261398_new
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Sensitivity Analysis for Neural Networks
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 96. Codice articolo 2614419913
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Sensitivity Analysis for Neural Networks
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Condizione: New. Print on Demand pp. 96 24 Illus. Codice articolo 11253782
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Sensitivity Analysis for Neural Networks
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 96. Codice articolo 1814419907
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