Studies in Computational Intelligence

Evolutionary Algorithms and Neural Networks

Theory and Applications

Authors: Mirjalili, Seyedali

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  • Introduces beginners to evolutionary algorithms and artificial neural networks 
  • Shows how to train artificial neural networks using evolutionary algorithms
  • Includes extensive examples of the proposed techniques
  • Source codes are available on the author’s webpage
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eBook 93,08 €
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  • ISBN 978-3-319-93025-1
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Hardcover 114,39 €
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Softcover 114,39 €
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About this book

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.

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Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook 93,08 €
price for Spain (gross)
  • ISBN 978-3-319-93025-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 114,39 €
price for Spain (gross)
Softcover 114,39 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Algorithms and Neural Networks
Book Subtitle
Theory and Applications
Authors
Series Title
Studies in Computational Intelligence
Series Volume
780
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-93025-1
DOI
10.1007/978-3-319-93025-1
Hardcover ISBN
978-3-319-93024-4
Softcover ISBN
978-3-030-06572-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 156
Number of Illustrations
8 b/w illustrations, 60 illustrations in colour
Topics