Evolutionary Algorithms and Neural Networks
Theory and Applications
Published on 26. June 2018
XIV, 156 pages
978-3-319-93025-1 (ISBN)
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.
More details
Series
Edition
1st ed. 2019
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIV, 156 p. 68 illus., 60 illus. in color.
File size
9,30 MB
ISBN-13
978-3-319-93025-1 (9783319930251)
DOI
10.1007/978-3-319-93025-1
Schweitzer Classification
Other editions
Additional editions
Book
07/2018
Springer
€128.39
Shipment within 10-15 days
Person
Content
Part I: Evolutionary algorithms.- Introduction to Evolutionary Single-objective Optimisation.- Particle Swarm Optimisation.- Ant Colony Optimization.- Genetic Algorithm.- Biogeography-Based Optimization.- Part II: Evolutionary Neural Networks.- Evolutionary Feedforward Neural Networks.- Evolutionary Multi-Layer Perceptron.- Evolutionary Radial Basis Function Networks.- Evolutionary Deep Neural Networks.
