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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967, Band 967) - Hardcover

Buch 475 von 538: Studies in Computational Intelligence
 
9783030705411: Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967, Band 967)
Hardcover
ISBN 10: 3030705412 ISBN 13: 9783030705411
Verlag: Springer, 2021

Inhaltsangabe

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. 

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Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
3030705412
ISBN 13 
9783030705411
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
783
Herausgeber
Oliva Diego, Houssein Essam H., Hinojosa Salvador
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