Evolutionary Algorithms and Neural Networks

Theory and Applications

By:

Seyedali Mirjalili

Format:

Hardback

Series:

Studies in Computational Intelligence

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Description

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.

Release date Australia

July 12th, 2018

Author

Seyedali Mirjalili

Series

Studies in Computational Intelligence

Pages

156

Edition

1st ed. 2019

Audiences

Professional & Vocational
Tertiary Education (US: College)

Illustrations

60 Illustrations, color; 8 Illustrations, black and white; XIV, 156 p. 68 illus., 60 illus. in color.

ISBN-13

9783319930244

Product ID

27959242

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