Evolutionary Learning Algorithms for Neural Adaptive Control

Evolutionary Learning Algorithms for Neural Adaptive Control
Author: Dimitris C. Dracopoulos
Publisher: Springer
Total Pages: 214
Release: 2013-12-21
Genre: Computers
ISBN: 1447109031


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Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.


Evolutionary Learning Algorithms for Neural Adaptive Control
Language: en
Pages: 214
Authors: Dimitris C. Dracopoulos
Categories: Computers
Type: BOOK - Published: 2013-12-21 - Publisher: Springer

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Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be appli
Evolutionary Learning Algorithms for Neural Adaptive Control
Language: en
Pages: 224
Authors: Dimitris Dracopoulos
Categories:
Type: BOOK - Published: 2014-09-01 - Publisher:

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Learning Algorithms
Language: en
Pages: 251
Authors: P. Mars
Categories: Technology & Engineering
Type: BOOK - Published: 2018-01-18 - Publisher: CRC Press

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Over the past decade, interest in computational or non-symbolic artificial intelligence has grown. The algorithms involved have the ability to learn from past e
Intelligent Control
Language: en
Pages: 164
Authors: Fouad Sabry
Categories: Computers
Type: BOOK - Published: 2023-07-03 - Publisher: One Billion Knowledgeable

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What Is Intelligent Control The term "intelligent control" refers to a category of control methods that make use of a number of different artificial intelligenc
Learning Algorithms
Language: en
Pages: 240
Authors: Phil Mars
Categories: Technology & Engineering
Type: BOOK - Published: 1996-10-15 - Publisher: CRC Press

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Over the past decade, interest in computational or non-symbolic artificial intelligence has grown. The algorithms involved have the ability to learn from past e