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  3. Matematisk modellering

Evolutionary Algorithms and Neural Networks

- Theory and Applications
Af: Seyedali Mirjalili Engelsk Paperback

Evolutionary Algorithms and Neural Networks

- Theory and Applications
Af: Seyedali Mirjalili Engelsk Paperback
Tjek vores konkurrenters priser
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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 156
ISBN-13: 9783030065720
Indbinding: Paperback
Udgave:
ISBN-10: 3030065723
Kategori: Matematisk modellering
Udg. Dato: 19 jan 2019
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 19 jan 2019
Forfatter(e): Seyedali Mirjalili
Forfatter(e) Seyedali Mirjalili

Kategori Matematisk modellering

ISBN-13 9783030065720

Sprog Engelsk

Indbinding Paperback

Sider 156

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 19 jan 2019

Oplagsdato 19 jan 2019

Forlag Springer Nature Switzerland AG

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