Operations Research/Computer Science Interfaces Series

Metaheuristic Procedures for Training Neural Networks

Editors: Alba, Enrique, Martí, Rafael (Eds.)

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eBook $139.00
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  • ISBN 978-0-387-33416-5
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Hardcover $179.00
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valid through November 5, 2017
  • ISBN 978-0-387-33415-8
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  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
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valid through November 5, 2017
  • ISBN 978-1-4419-4128-2
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About this book

Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Apart from Chapter 1, which reviews classical training methods, the chapters are divided into three main categories. The first one is devoted to local search based methods, including Simulated Annealing, Tabu Search, and Variable Neighborhood Search. The second part of the book presents population based methods, such as Estimation Distribution algorithms, Scatter Search, and Genetic Algorithms. The third part covers other advanced techniques, such as Ant Colony Optimization, Co-evolutionary methods, GRASP, and Memetic algorithms. Overall, the book's objective is engineered to provide a broad coverage of the concepts, methods, and tools of this important area of ANNs within the realm of continuous optimization.

Reviews

From the reviews:

"The strength of the book is its clear motivation to bring a new breath from metaheuristics into training of neural networks and integrate both sub-disciplines for the purpose of better exploitation of artificial intelligence approaches. … The most benefiting reader of this book will perhaps be those who research on modelling data with ANN faced with difficulty of robust mapping with classical training algorithms." (S. Gazioglu, Journal of the Operational Research Society, Vol. 58 (12), 2007)


Table of contents (2 chapters)

  • Ant Colony Optimization

    Krzysztof Socha, Christian Blum

    Pages 153-180

  • Memetic Algorithms

    Natalio Krasnogor, Alberto Aragón, Joaquín Pacheco

    Pages 225-248

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-0-387-33416-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
valid through November 5, 2017
  • ISBN 978-0-387-33415-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4419-4128-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Metaheuristic Procedures for Training Neural Networks
Editors
  • Enrique Alba
  • Rafael Martí
Series Title
Operations Research/Computer Science Interfaces Series
Series Volume
35
Copyright
2006
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-33416-5
DOI
10.1007/0-387-33416-5
Hardcover ISBN
978-0-387-33415-8
Softcover ISBN
978-1-4419-4128-2
Series ISSN
1387-666X
Edition Number
1
Number of Pages
XII, 252
Number of Illustrations and Tables
65 b/w illustrations
Topics