Evolutionary Algorithms and Neural Networks: Theory and Applications: 780 (Studies in Computational Intelligence) - Tapa blanda

Mirjalili, Seyedali

9783030065720: Evolutionary Algorithms and Neural Networks: Theory and Applications: 780 (Studies in Computational Intelligence)

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ISBN 10: 3030065723 ISBN 13: 9783030065720

Editorial: Springer, 2019

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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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Editorial: Springer
A�o de publicaci�n: 2019
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ISBN 10: 3030065723
ISBN 13: 9783030065720
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9783319930244: Evolutionary Algorithms and Neural Networks: Theory and Applications: 780 (Studies in Computational Intelligence)

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ISBN 10: 3319930249 ISBN 13: 9783319930244
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Evolutionary Algorithms and Neural Networks

Seyedali Mirjalili

Publicado por Springer International Publishing, 2019

ISBN 10: 3030065723 ISBN 13: 9783030065720

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces beginners to evolutionary algorithms and artificial neural networks&nbspShows how to train artificial neural networks using evolutionary algorithmsIncludes extensive examples of the propos. N� de ref. del art�culo: 448669955

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Evolutionary Algorithms and Neural Networks: Theory and Applications (Studies in Computational Intelligence, 780)

Mirjalili, Seyedali

Publicado por Springer, 2019

ISBN 10: 3030065723 ISBN 13: 9783030065720

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Evolutionary Algorithms and Neural Networks

Seyedali Mirjalili

Publicado por Springer International Publishing Jan 2019, 2019

ISBN 10: 3030065723 ISBN 13: 9783030065720

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch. N� de ref. del art�culo: 9783030065720

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Evolutionary Algorithms and Neural Networks : Theory and Applications

Seyedali Mirjalili

Publicado por Springer International Publishing, Springer International Publishing, 2019

ISBN 10: 3030065723 ISBN 13: 9783030065720

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783030065720

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Evolutionary Algorithms and Neural Networks: Theory and Applications (Studies in Computational Intelligence, 780)

Mirjalili, Seyedali

Publicado por Springer, 2019

ISBN 10: 3030065723 ISBN 13: 9783030065720

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Condici�n: New. N� de ref. del art�culo: I-9783030065720

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Evolutionary Algorithms and Neural Networks

Seyedali Mirjalili

Publicado por Springer International Publishing, Springer International Publishing Jan 2019, 2019

ISBN 10: 3030065723 ISBN 13: 9783030065720

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch. N� de ref. del art�culo: 9783030065720

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