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Multilayer Neural Networks: A Generalized Net Perspective: 478 (Studies in Computational Intelligence) - Tapa blanda
Sinopsis
The primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, like dynamic programming, with modifications, can yield a new class of learning algorithms for multilayer neural networks.
Another purpose of this book is to show that the generalized net theory can be successfully used as a new description of multilayer neural networks. Several generalized net descriptions of neural networks functioning processes are considered, namely: the simulation process of networks, a system of neural networks and the learning algorithms developed in this book.
The generalized net approach to modelling of real systems may be used successfully for the description of a variety of technological and intellectual problems, it can be used not only for representing the parallel functioning of homogenous objects, but also for modelling non-homogenous systems, for example systems which consist of a different kind of subsystems.
The use of the generalized nets methodology shows a new way to describe functioning of discrete dynamic systems.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
The primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, like dynamic programming, with modifications, can yield a new class of learning algorithms for multilayer neural networks.
Another purpose of this book is to show that the generalized net theory can be successfully used as a new description of multilayer neural networks. Several generalized net descriptions of neural networks functioning processes are considered, namely: the simulation process of networks, a system of neural networks and the learning algorithms developed in this book.
The generalized net approach to modelling of real systems may be used successfully for the description of a variety of technological and intellectual problems, it can be used not only for representing the parallel functioning of homogenous objects, but also for modelling non-homogenous systems, for example systems which consist of a different kind of subsystems.
The use of the generalized nets methodology shows a new way to describe functioning of discrete dynamic systems.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Multilayer Neural Networks (eng)
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Multilayer Neural Networks : A Generalized Net Perspective
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Multilayer Neural Networks
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ISBN 10: 3319033905
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, like dynamic programming, with modifications, can yield a new class of learning algorithms for multilayer neural networks. Another purpose of this book is to show that the generalized net theory can be successfully used as a new description of multilayer neural networks. Several generalized net descriptions of neural networks functioning processes are considered, namely: the simulation process of networks, a system of neural networks and the learning algorithms developed in this book.The generalized net approach to modelling of real systems may be used successfully for the description of a variety of technological and intellectual problems, it can be used not only for representing the parallel functioning of homogenous objects, but also for modelling non-homogenous systems, for example systems which consist of a different kind of subsystems.The use of the generalized nets methodology shows a new way to describe functioning of discrete dynamic systems. 196 pp. Englisch. Nº de ref. del artículo: 9783319033907
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Multilayer Neural Networks: A Generalized Net Perspective: 478 (Studies in Computational Intelligence)
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Multilayer Neural Networks : A Generalized Net Perspective
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Multilayer Neural Networks: A Generalized Net Perspective (Studies in Computational Intelligence, 478)
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Multilayer Neural Networks
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Springer International Publishing, 2015
ISBN 10: 3319033905
ISBN 13: 9783319033907
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Multilayer Neural Networks Shows that a multilayer neural network can be considered as a multistage system, and that the learning of this class of neural networks can be treated as a special sort of the optimal control p. Nº de ref. del artículo: 385702923
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Multilayer Neural Networks: A Generalized Net Perspective: 478 (Studies in Computational Intelligence)
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Multilayer Neural Networks | A Generalized Net Perspective
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Taschenbuch. Condición: Neu. Multilayer Neural Networks | A Generalized Net Perspective | Maciej Krawczak | Taschenbuch | xii | Englisch | 2015 | Springer | EAN 9783319033907 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 104571964
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Multilayer Neural Networks
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Springer, Palgrave Macmillan Jun 2015, 2015
ISBN 10: 3319033905
ISBN 13: 9783319033907
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, like dynamic programming, with modifications, can yield a new class of learning algorithms for multilayer neural networks.Another purpose of this book is to show that the generalized net theory can be successfully used as a new description of multilayer neural networks. Several generalized net descriptions of neural networks functioning processes are considered, namely: the simulation process of networks, a system of neural networks and the learning algorithms developed in this book.The generalized net approach to modelling of real systems may be used successfully for the description of a variety of technological and intellectual problems, it can be used not only for representing the parallel functioning of homogenous objects, but also for modelling non-homogenous systems, for example systems which consist of a different kind of subsystems.The use of the generalized nets methodology shows a new way to describe functioning of discrete dynamic systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. Nº de ref. del artículo: 9783319033907
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