Metaheuristics in Machine Learning: Theory and Applications - Couverture souple

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9783030705442: Metaheuristics in Machine Learning: Theory and Applications
Couverture souple
ISBN 10 : 3030705447 ISBN 13 : 9783030705442
Editeur : Springer Nature Switzerland AG, 2022

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2022
Langue
anglais
ISBN 10 
3030705447
ISBN 13 
9783030705442
Reliure
Broché
Nombre de pages
769
Éditeur
Oliva Diego, Houssein Essam H., Hinojosa Salvador
Coordonnées du fabricant
KINESIS
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
22391
Allemagne

Autres éditions populaires du même titre

9783030705411: Metaheuristics in Machine Learning: Theory and Applications

Edition présentée

ISBN 10 :  3030705412 ISBN 13 :  9783030705411
Editeur : Springer Nature Switzerland AG, 2021
Couverture rigide