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Multilayer Neural Networks: A Generalized Net Perspective

Multilayer Neural Networks: A Generalized Net Perspective

          
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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.


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Product Details
  • ISBN-13: 9783319033907
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 2013 ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 11 mm
  • Weight: 285 gr
  • ISBN-10: 3319033905
  • Publisher Date: 23 Jun 2015
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 182
  • Series Title: Studies in Computational Intelligence
  • Sub Title: A Generalized Net Perspective
  • Width: 156 mm


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