Evolutionary Algorithms and Neural Networks
Theory and Applications
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:19th Jan '19
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783030065720
Dimensions: unknown
Weight: unknown
156 pages
Softcover reprint of the original 1st ed. 2019