Description du livre Etat : New. New! This book is in the same immaculate condition as when it was published. N� de r�f. du vendeur 353-3642758967-new

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Adaptive Algorithms and Stochastic Approximations

Albert Benveniste

Edit� par Springer Berlin Heidelberg Feb 2012 (2012)

ISBN 10 : 3642758967 ISBN 13 : 9783642758966

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Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of 'intelligence' within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a 'general theory of adaptive systems' encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications. 380 pp. Englisch. N� de r�f. du vendeur 9783642758966

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Adaptive Algorithms and Stochastic Approximations

Albert Benveniste|Michel Metivier|Pierre Priouret

Edit� par Springer Berlin Heidelberg (2012)

ISBN 10 : 3642758967 ISBN 13 : 9783642758966

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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now re. N� de r�f. du vendeur 5069911

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Adaptive Algorithms and Stochastic Approximations (Stochastic Modelling and Applied Probability)

Benveniste, Albert; Metivier, Michel; Priouret, Pierre

Edit� par Springer (2012)

ISBN 10 : 3642758967 ISBN 13 : 9783642758966

Neuf Couverture souple Quantit� disponible : > 20

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California Books
(Miami, FL, Etats-Unis)

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Description du livre Etat : New. N� de r�f. du vendeur I-9783642758966

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Adaptive Algorithms and Stochastic Approximations

Albert Benveniste

Edit� par Springer Berlin Heidelberg (2012)

ISBN 10 : 3642758967 ISBN 13 : 9783642758966

Neuf Taschenbuch Quantit� disponible : 1

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AHA-BUCH GmbH
(Einbeck, Allemagne)

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Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of 'intelligence' within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a 'general theory of adaptive systems' encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications. N� de r�f. du vendeur 9783642758966

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