Description: Evolutionary Algorithms and Neural Networks by Seyedali Mirjalili This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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. Back Cover 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. Table of Contents 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. Feature Introduces beginners to evolutionary algorithms and artificial neural networks Shows how to train artificial neural networks using evolutionary algorithms Includes extensive examples of the proposed techniques Source codes are available on the authors webpage Details ISBN3030065723 Language English Year 2019 ISBN-10 3030065723 ISBN-13 9783030065720 Format Paperback Author Seyedali Mirjalili Series Studies in Computational Intelligence Subtitle Theory and Applications DEWEY 003.3 Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Pages 156 Publication Date 2019-01-19 Short Title Evolutionary Algorithms and Neural Networks Series Number 780 UK Release Date 2019-01-19 Illustrations 60 Illustrations, color; 8 Illustrations, black and white; XIV, 156 p. 68 illus., 60 illus. in color. Publisher Springer Nature Switzerland AG Edition Description Softcover reprint of the original 1st ed. 2019 Alternative 9783319930244 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:126624178;
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ISBN-13: 9783030065720
Book Title: Evolutionary Algorithms and Neural Networks
Number of Pages: 156 Pages
Language: English
Publication Name: Evolutionary Algorithms and Neural Networks: Theory and Applications
Publisher: Springer Nature Switzerland Ag
Publication Year: 2019
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 273 g
Type: Textbook
Author: Seyedali Mirjalili
Item Width: 155 mm
Format: Paperback