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Metaheuristics in Machine Learning: Theory and Applications: 967 (Studies in Computational Intelligence, 967) - Softcover
- PublisherSpringer
- Publication date2022
- ISBN 10 3030705447
- ISBN 13 9783030705442
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages783
- EditorOliva Diego, Houssein Essam H., Hinojosa Salvador
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Metaheuristics in Machine Learning: Theory and Applications
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Springer International Publishing, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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Metaheuristics in Machine Learning: Theory and Applications
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Condition: 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. Seller Inventory # 628806708
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Metaheuristics in Machine Learning: Theory and Applications
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Springer International Publishing Jul 2022, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783030705442
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Metaheuristics in Machine Learning: Theory and Applications
Published by
Springer International Publishing, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783030705442
Quantity: 1 available
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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