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Evolutionary Algorithms and Neural Networks: Theory and Applications: 780 (Studies in Computational Intelligence) - Tapa dura
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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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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.
Publicado por
Cham, Springer., 2019
ISBN 10: 3319930249
ISBN 13: 9783319930244
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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xiv, 156 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Nº de ref. del artículo: 5341BB
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Evolutionary Algorithms and Neural Networks: Theory and Applications (Studies in Computational Intelligence, 780)
Publicado por
Springer, 2018
ISBN 10: 3319930249
ISBN 13: 9783319930244
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Librería: SpringBooks, Berlin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany. Nº de ref. del artículo: CEA-2408C-WISENT-15-0500k
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Evolutionary Algorithms and Neural Networks
Publicado por
Springer International Publishing, 2018
ISBN 10: 3319930249
ISBN 13: 9783319930244
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 224215233
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Evolutionary Algorithms and Neural Networks: Theory and Applications (Studies in Computational Intelligence, 780)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783319930244_new
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Evolutionary Algorithms and Neural Networks
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Springer International Publishing Jul 2018, 2018
ISBN 10: 3319930249
ISBN 13: 9783319930244
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9783319930244
Cantidad disponible: 2 disponibles
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 32771251-n
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Publicado por
Springer International Publishing, 2018
ISBN 10: 3319930249
ISBN 13: 9783319930244
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9783319930244
Cantidad disponible: 1 disponibles
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Evolutionary Algorithms and Neural Networks : Theory and Applications
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Evolutionary Algorithms and Neural Networks : Theory and Applications
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 32771251
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Evolutionary Algorithms and Neural Networks : Theory and Applications
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 32771251
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