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Evolutionary Algorithms Neural Networks by Mirjalili Seyedali (25 results)
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Evolutionary Algorithms and Neural Networks: Theory and Applications (Studies in Computational Intelligence, 780)
First Edition
£ 33.59
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Add to basketHardcover. Condition: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
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Evolutionary Algorithms and Neural Networks: Theory and Applications (Studies in Computational Intelligence, 780)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030065723 ISBN 13: 9783030065720
Language: English
£ 113.13
Convert currency£ 11.97 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: 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.
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Published by Springer International Publishing, 2018
ISBN 10: 3319930249 ISBN 13: 9783319930244
Language: English
£ 113.13
Convert currency£ 11.97 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: 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.
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Hardcover. Condition: Brand New. 156 pages. 9.50x6.25x0.50 inches. In Stock.
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Evolutionary Algorithms and Neural Networks
Published by Springer International Publishing, 2018
ISBN 10: 3319930249 ISBN 13: 9783319930244
Language: English
£ 96.78
Convert currency£ 21.38 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: 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 Shows how to train artificial neural networks using evolutionary algorithmsIncludes extensive examples of the propos.
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Evolutionary Algorithms and Neural Networks
Published by Springer International Publishing, 2019
ISBN 10: 3030065723 ISBN 13: 9783030065720
Language: English
£ 96.78
Convert currency£ 21.38 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: 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 Shows how to train artificial neural networks using evolutionary algorithmsIncludes extensive examples of the propos.
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Evolutionary Algorithms and Neural Networks
Published by Springer International Publishing Jan 2019, 2019
ISBN 10: 3030065723 ISBN 13: 9783030065720
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 113.13
Convert currency£ 9.41 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: 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.
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Evolutionary Algorithms and Neural Networks
Published by Springer International Publishing Jul 2018, 2018
ISBN 10: 3319930249 ISBN 13: 9783319930244
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 113.13
Convert currency£ 9.41 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: 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.
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Evolutionary Algorithms and Neural Networks
Published by Springer International Publishing, Springer International Publishing Jan 2019, 2019
ISBN 10: 3030065723 ISBN 13: 9783030065720
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 113.13
Convert currency£ 29.94 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: 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.
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Evolutionary Algorithms and Neural Networks
Published by Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 3319930249 ISBN 13: 9783319930244
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 113.13
Convert currency£ 29.94 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: 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.
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£ 163.56
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