Multilayer Neural Networks
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Multilayer Neural Networks: A Generalized Net Perspective(478 Studies in Computational Intelligence)

Multilayer Neural Networks: A Generalized Net Perspective(478 Studies in Computational Intelligence)


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About the Book

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.  

Table of Contents:
Introduction to Multilayer Neural Networks.- Basics of Generalized Nets.- Simulation Process of Neural Networks.- Learning from Examples.- Learning as a Control Process.- Parameterisation of Learning.- Adjoint Neural Networks.

Review :
From the reviews: “This book aims to provide a suitable framework allowing the embedding of the multilayer neural networks viewed as multistage systems, in an extension of Petri net theory called the theory of generalized nets. … The developments presented in the book are both interesting and important, and open new perspectives for research in the area … . book is of real value to researchers in the field of neural networks. It is also useful for students studying computer science and engineering.” (L. State, Computing Reviews, April, 2014)


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Product Details
  • ISBN-13: 9783319002477
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 182
  • Returnable: N
  • Sub Title: A Generalized Net Perspective
  • ISBN-10: 3319002473
  • Publisher Date: 31 May 2013
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Series Title: 478 Studies in Computational Intelligence
  • Width: 155 mm


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Multilayer Neural Networks: A Generalized Net Perspective(478 Studies in Computational Intelligence)
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