Editore: Springer International Publishing, 2022
ISBN 10: 3030705447 ISBN 13: 9783030705442
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 123,49
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 788 | Sprache: Englisch | Produktart: Bücher.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 176,21
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 176,44
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 183,03
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 183,03
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Editore: Springer International Publishing, 2022
ISBN 10: 3030705447 ISBN 13: 9783030705442
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Editore: Springer International Publishing, 2021
ISBN 10: 3030705412 ISBN 13: 9783030705411
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,19
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Da: California Books, Miami, FL, U.S.A.
EUR 216,29
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Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 216,29
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Aggiungi al carrelloCondizione: New.
EUR 225,56
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Aggiungi al carrelloCondizione: New. Special order direct from the distributor.
Da: Books Puddle, New York, NY, U.S.A.
EUR 233,67
Convertire valutaQuantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 244,30
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Da: Revaluation Books, Exeter, Regno Unito
EUR 267,51
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Aggiungi al carrelloHardcover. Condizione: Brand New. 783 pages. 9.25x6.10x1.81 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 171,24
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Aggiungi al carrelloHardcover. Condizione: Brand New. 783 pages. 9.25x6.10x1.81 inches. In Stock. This item is printed on demand.
Editore: Springer International Publishing Jul 2022, 2022
ISBN 10: 3030705447 ISBN 13: 9783030705442
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities. 788 pp. Englisch.
Editore: Springer International Publishing Jul 2021, 2021
ISBN 10: 3030705412 ISBN 13: 9783030705411
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities. 788 pp. Englisch.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030705447 ISBN 13: 9783030705442
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 144,94
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the con.
Editore: Springer International Publishing, 2021
ISBN 10: 3030705412 ISBN 13: 9783030705411
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 144,94
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides representative tools used for machine learning and metaheuristic algorithms Focuses on the theory and application of metaheuristic algorithms in machine learning, including hybridization and implementations .