Metaheuristics in Machine Learning: Theory and Applications (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2021
Series: Book 475 of 538 - Studies in Computational Intelligence
- Hardcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 211.39
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Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9783030705411
- Title
- Metaheuristics in Machine Learning: Theory and Applications (Hardcover)
- Author
- Diego Oliva
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2021
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030705412
- ISBN 13
- 9783030705411
- Series
- Book 475 of 538: Studies in Computational Intelligence
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AussieBookSeller
Truganina, VIC, Australia
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