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Multilayer Neural Networks - A Generalized Net Perspective (Paperback, 2013 ed.)
Loot Price: R3,299
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Multilayer Neural Networks - A Generalized Net Perspective (Paperback, 2013 ed.)
Series: Studies in Computational Intelligence, 478
Expected to ship within 10 - 15 working days
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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.
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