9783642025310 - Sensitivity Analysis for Neural Networks (natural Computing Series) by Yeung, Daniel S.; Cloete, Ian; Shi, Daming; Ng, Wing W. Y. (12 results)
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 96.88
£ 11.98 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
£ 113.08
£ 1.98 shippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 96.87
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
Language: English
Published by Springer-Verlag New York Inc, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 127.03
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 1st edition. 130 pages. 9.25x6.25x0.25 inches. In Stock.
Language: English
Published by Springer Berlin Heidelberg, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 94.37
£ 52.75 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. 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 sensitiv…ity 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.
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 162.99
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
Contact seller4-star sellerCondition: Used - As new
£ 155.00
£ 25.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 187.30
£ 1.98 shippingShips within U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
£ 76.07
£ 4.71 shippingShips from Italy to U.S.A.Quantity: Over 20 available
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer Berlin Heidelberg Nov 2009, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 94.37
£ 19.70 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. 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 syste…ms, 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.
Language: English
Published by Springer Berlin Heidelberg, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 81.39
£ 41.95 shippingShips from Germany to U.S.A.Quantity: Over 20 available
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 rel…ated engineering systems, and sensiti.
Language: English
Published by Springer, Springer Nov 2009, 2009
Series: Natural Computing, Book 8 of 32. Book 8 of 32 - Natural Computing
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 94.37
£ 51.38 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. 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 KG, Sachsenplatz 4-6, 1201 Wien 96 pp. Englisch.
