Evolutionary Algorithms and Neural Networks

Descripción

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.

N° de ref. del artículo 9783030065720

Contactar al vendedor

Denunciar este artículo

Detalles bibliográficos

Título

Evolutionary Algorithms and Neural Networks

Editor

Springer International Publishing, Springer International Publishing Jan 2019

Fecha de publicación

2019

Idioma

Inglés

ISBN 10

3030065723

ISBN 13

9783030065720

Encuadernación

Taschenbuch

Estado

Neu

Acerca de