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portada Multilayer Neural Networks: A Generalized Net Perspective
Type
Physical Book
Author
Publisher
Language
English
Pages
182
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.3 cm
Weight
0.45 kg.
ISBN13
9783319002477
Categories

Multilayer Neural Networks: A Generalized Net Perspective

Maciej Krawczak (Author) · Springer · Hardcover

Multilayer Neural Networks: A Generalized Net Perspective - Krawczak, Maciej

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Synopsis "Multilayer Neural Networks: A Generalized Net Perspective"

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.

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