Multilayer Neural Networks - A Generalized Net Perspective

by Maciej Krawczak
State: New
$109.89
VAT included - FREE Shipping
Maciej Krawczak Multilayer Neural Networks - A Generalized Net Perspective
Maciej Krawczak - Multilayer Neural Networks - A Generalized Net Perspective

Do you like this product? Spread the word!

$109.89 incl. VAT
Only 1 items available Only 2 items available
Delivery: between Tuesday, October 5, 2021 and Thursday, October 7, 2021
Sales & Shipping: Dodax

Check other buying options

1 Offer for $161.01

Sold by Dodax EU

$161.01 incl. VAT
State: New
Free Shipping
Delivery: between Tuesday, October 5, 2021 and Thursday, October 7, 2021
View other buying options

Description

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. 

Contributors

Author:
Maciej Krawczak

Further information

Illustrations Note:
35 SW-Abb.
remarks:

Recent research on Multilayer Neural Networks


Shows that a multilayer neural network can be considered as a multistage system, and that the learning of this class of neural networks can be treated as a special sort of the optimal control problem


Presents a new way to describe the functioning of discrete dynamic systems


Shows that the generalized net theory developed by Atanassov (1984) as the extension of the ordinary Petri net theory and its modifications can be successfully used as a new description of multilayer neural networks

Media Type:
Hardcover
Publisher:
Springer International Publishing
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)
Language:
English
Number of Pages:
182
Summary:
This book shows that a multilayer neural network can be considered as a multistage system, and that the learning of this class of neural networks can be treated as a special sort of the optimal control problem.

Master Data

Product Type:
Hardback book
Package Dimensions:
0.236 x 0.154 x 0.018 m; 0.44 kg
GTIN:
09783319002477
DUIN:
9705IGI3TAS
$109.89
We use cookies on our website to make our services more efficient and more user-friendly. Therefore please select "Accept cookies"! Please read our Privacy Policy for further information.