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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.
Produktdetaljer
Sprog: Engelsk
Sider: 156
ISBN-13: 9783030065720
Indbinding: Paperback
Udgave:
ISBN-10: 3030065723
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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