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Advanced Neural Network Based Computational by Mrugalski Marcin (25 results)
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis (Studies in Computational Intelligence, 510)
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis (Studies in Computational Intelligence, 510)
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, 2013
ISBN 10: 331901546X ISBN 13: 9783319015460
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 204 | Sprache: Englisch | Produktart: Sonstiges.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319032860 ISBN 13: 9783319032863
Language: English
US$ 128.98
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, 2013
ISBN 10: 331901546X ISBN 13: 9783319015460
Language: English
US$ 128.98
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 206.
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Add to basketHardcover. Condition: Brand New. 2014 edition. 200 pages. 9.25x6.50x0.75 inches. In Stock.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, Springer International Publishing Aug 2015, 2015
ISBN 10: 3319032860 ISBN 13: 9783319032863
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 128.98
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Add to basketTaschenbuch. Condition: Neu. Neuware -The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, Springer International Publishing Aug 2013, 2013
ISBN 10: 331901546X ISBN 13: 9783319015460
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 128.98
Convert currencyUS$ 64.37 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch.
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Condition: New. pp. 208.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing Aug 2015, 2015
ISBN 10: 3319032860 ISBN 13: 9783319032863
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications. 208 pp. Englisch.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing Aug 2013, 2013
ISBN 10: 331901546X ISBN 13: 9783319015460
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 128.98
Convert currencyUS$ 26.92 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications. 204 pp. Englisch.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, 2015
ISBN 10: 3319032860 ISBN 13: 9783319032863
Language: English
US$ 111.23
Convert currencyUS$ 57.34 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemesDetails neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
Published by Springer International Publishing, 2013
ISBN 10: 331901546X ISBN 13: 9783319015460
Language: English
US$ 111.23
Convert currencyUS$ 57.34 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemesDetails neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.
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Add to basketCondition: New. Print on Demand pp. 206 125 Illus.
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Add to basketCondition: New. PRINT ON DEMAND pp. 206.
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Add to basketCondition: New. PRINT ON DEMAND pp. 208.
