Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 145,06
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 145,06
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Aggiungi al carrelloCondizione: New. In.
Editore: Springer International Publishing, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 108,40
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 512 | Sprache: Englisch | Produktart: Bücher.
Editore: Springer International Publishing, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
Editore: Springer International Publishing, 2022
ISBN 10: 3030990788 ISBN 13: 9783030990787
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
Da: California Books, Miami, FL, U.S.A.
EUR 189,81
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Da: Books Puddle, New York, NY, U.S.A.
EUR 193,14
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 204,40
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 220,50
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Aggiungi al carrellopaperback. Condizione: New. New. book.
Editore: Springer International Publishing, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 152,53
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Springer International Publishing, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 146,25
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Springer International Publishing Jun 2023, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities. 512 pp. Englisch.
Editore: Springer International Publishing Jun 2022, 2022
ISBN 10: 3030990788 ISBN 13: 9783030990787
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities. 512 pp. Englisch.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3030990818 ISBN 13: 9783030990817
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 127,40
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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 collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The .
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030990788 ISBN 13: 9783030990787
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 127,40
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The .
Da: Majestic Books, Hounslow, Regno Unito
EUR 202,22
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.