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Deterministic Learning Theory Identification by Wang Cong (20 results)
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Condition: As New. Unread book in perfect condition.
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 36 of 56: Automation and Control EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 36 of 56: Automation and Control EngineeringLanguage: English
Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138112054 ISBN 13: 9781138112056
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 36 of 56: Automation and Control EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: Brand New. 207 pages. 9.21x6.14x0.87 inches. In Stock.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 43 of 56: Automation and Control EngineeringSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deterministic Learning Theory for Identification, Recognition, and Control (Automation and Control Engineering)
Book 43 of 56: Automation and Control EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 43 of 56: Automation and Control EngineeringLanguage: English
Published by Taylor & Francis Inc, 2009
ISBN 10: 0849375533 ISBN 13: 9780849375538
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. This book introduces the concepts of deterministic learning theory and then discusses the persistent excitation property of RBF networks. Series Editor(s): Lewis, Frank L. Series: Automation and Control Engineering. Num Pages: 207 pages, 147 black & white illustrations. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 243 x 164 x 20. Weight in Grams: 508. . 2009. Hardback. . . . .
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 36 of 56: Automation and Control EngineeringLanguage: English
Published by Taylor and Francis Inc, US, 2009
ISBN 10: 0849375533 ISBN 13: 9780849375538
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic EnvironmentsThe authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information ProcessingThis book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
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Condition: New. Cong Wang, David J. HillDeterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic envi.
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 43 of 56: Automation and Control EngineeringLanguage: English
Published by Taylor & Francis Inc, 2009
ISBN 10: 0849375533 ISBN 13: 9780849375538
Condition: New. Provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. This book introduces the concepts of deterministic learning theory and then discusses the persistent excitation property of RBF networks. Series Editor(s): Lewis, Frank L. Series: Automation and Control Engineering. Num Pages: 207 pages, 147 black & white illustrations. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 243 x 164 x 20. Weight in Grams: 508. . 2009. Hardback. . . . . Books ship from the US and Ireland.
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Deterministic Learning Theory for Identification, Recognition, and Control
Book 43 of 56: Automation and Control EngineeringLanguage: English
Published by Taylor and Francis Inc, US, 2009
ISBN 10: 0849375533 ISBN 13: 9780849375538
Hardback. Condition: New. Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic EnvironmentsThe authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information ProcessingThis book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
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Hardcover. Condition: Brand New. 1st edition. 207 pages. 9.53x6.30x0.71 inches. In Stock.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cong Wang, David J. HillDeterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic envi.
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Hardcover. Condition: Brand New. 1st edition. 207 pages. 9.53x6.30x0.71 inches. In Stock. This item is printed on demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Offering a new perspective, this book provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. It introduces the concepts of deterministic learning theory and then discusses the persistent excitation property of RBF networks. The authors describe the theory of deterministic learning processes and address dynamical pattern recognition and pattern-based control processes. They present a new model of dynamical parallel distributed processing applicable to the detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems.
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Buch. Condition: Neu. Deterministic Learning Theory for Identification, Recognition, and Control | Cong Wang (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2009 | CRC Press | EAN 9780849375538 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
