Computational Intelligence Applications to Power Systems (Hardcover, 1997 ed.)

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This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems. Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.

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Product Description

This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems. Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.

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Product Details

General

Imprint

Springer

Country of origin

Netherlands

Series

Intelligent Systems, Control and Automation: Science and Engineering, 15

Release date

2001

Availability

Expected to ship within 10 - 15 working days

First published

1997

Authors

, ,

Dimensions

235 x 155 x 18mm (L x W x T)

Format

Hardcover

Pages

162

Edition

1997 ed.

ISBN-13

978-0-7923-4075-1

Barcode

9780792340751

Categories

LSN

0-7923-4075-2



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