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Synopsis
This brief monograph is the first to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Each chapter is written in a self-contained style, with all necessary background and motivations included.
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This brief monograph is the first to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Each chapter is written in a self-contained style, with all necessary background and motivations included.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Intelligent Systems: Approximation by Artificial Neural Networks
Edité par
Springer Berlin Heidelberg, 2013
ISBN 10 : 3642268552
ISBN 13 : 9783642268557
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book dealing exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator Each chapter is written in a self-contained style, all necessary background and motivations are given per chapter . N° de réf. du vendeur 5054899
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Intelligent Systems: Approximation by Artificial Neural Networks
Edité par
Springer Berlin Heidelberg, 2013
ISBN 10 : 3642268552
ISBN 13 : 9783642268557
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the 'right' sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases.For the convenience of the reader, the chapters of this book are written in a self-contained style.This treatise relies on author's last two years of related research work.Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries. N° de réf. du vendeur 9783642268557
Quantité disponible : 1 disponible(s)
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Intelligent Systems: Approximation by Artificial Neural Networks
Edité par
Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10 : 3642268552
ISBN 13 : 9783642268557
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the 'right' sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases.For the convenience of the reader, the chapters of this book are written in a self-contained style.This treatise relies on author's last two years of related research work.Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries. 116 pp. Englisch. N° de réf. du vendeur 9783642268557
Quantité disponible : 2 disponible(s)
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Intelligent Systems: Approximation by Artificial Neural Networks
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10 : 3642268552
ISBN 13 : 9783642268557
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the 'right' sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases.For the convenience of the reader, the chapters of this book are written in a self-contained style. This treatise relies on author's last two years of related research work. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch. N° de réf. du vendeur 9783642268557
Quantité disponible : 1 disponible(s)
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Intelligent Systems: Approximation by Artificial Neural Networks (Intelligent Systems Reference Library)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 2011 edition. 116 pages. 9.25x6.10x0.27 inches. In Stock. N° de réf. du vendeur 3642268552
Quantité disponible : 1 disponible(s)
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Intelligent Systems: Approximation by Artificial Neural Networks (Intelligent Systems Reference Library (19))
Edité par
Springer, 2013
ISBN 10 : 3642268552
ISBN 13 : 9783642268557
Ancien ou d'occasion
Paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA75836422685526
Quantité disponible : 1 disponible(s)