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Evolutionary algorithms and neural n...

Mirjalili, Seyedali.

Evolutionary algorithms and neural networkstheory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary algorithms and neural networksby Seyedali Mirjalili.
其他題名:	theory and applications /
作者:	Mirjalili, Seyedali.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xiv, 156 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science)
電子資源:	http://dx.doi.org/10.1007/978-3-319-93025-1
ISBN:	9783319930251$q(electronic bk.)

Evolutionary algorithms and neural networkstheory and applications /
Mirjalili, Seyedali.

Evolutionary algorithms and neural networkstheory and applications /[electronic resource] :by Seyedali Mirjalili. - Cham :Springer International Publishing :2019. - xiv, 156 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7801860-949X ;. - Studies in computational intelligence ;v. 216..

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.

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: 9783319930251$q(electronic bk.)

Standard No.: 10.1007/978-3-319-93025-1doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87 / .M575 2019

Dewey Class. No.: 006.32

Evolutionary algorithms and neural networkstheory and applications /
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