Multilayer Neural Networks / Studies in Computational Intelligence Bd.478 (PDF)
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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.
- Autor: Maciej Krawczak
- 2013, 2013, 182 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319002481
- ISBN-13: 9783319002484
- Erscheinungsdatum: 17.04.2013
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- Grösse: 4.35 MB
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