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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)"About this title" may belong to another edition of this title.
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Sensitivity Analysis for Neural Networks
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Softcover
Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 96 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 11879136/2
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Sensitivity Analysis for Neural Networks
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
Used
Softcover
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 96 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 11879136/1
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Sensitivity Analysis for Neural Networks
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Condition: 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. Seller Inventory # 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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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783642261398
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Sensitivity Analysis for Neural Networks
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Taschenbuch. Condition: 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. Seller Inventory # 9783642261398
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Sensitivity Analysis for Neural Networks (Natural Computing Series)
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Sensitivity Analysis for Neural Networks
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2012, 2012
ISBN 10: 3642261396
ISBN 13: 9783642261398
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Taschenbuch. Condition: 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. Seller Inventory # 9783642261398
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Sensitivity Analysis for Neural Networks
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Sensitivity Analysis for Neural Networks
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Sensitivity Analysis for Neural Networks (Natural Computing Series)
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