Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides representative tools used for machine learning and metaheuristic algorithms&nbspFocuses on the theory and application of metaheuristic algorithms in machine learning, including hybridization and implementations . Codice articolo 458553028

Contatta il venditore

Compra nuovo

EUR 144,94

Convertire valuta

Spese di spedizione: EUR 48,99

Da: Germania a: U.S.A.

Destinazione, tempi e costi

Quantit�: Pi� di 20 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Metaheuristics in Machine Learning: Theory and Applications

Diego Oliva

Editore: Springer International Publishing Jul 2021, 2021

ISBN 10: 3030705412 ISBN 13: 9783030705411

Nuovo Rilegato

Print on Demand

Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

Valutazione del venditore 5 su 5 stelle

Buch. Condizione: 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. Codice articolo 9783030705411

Contatta il venditore

Compra nuovo

EUR 171,19

Convertire valuta

Spese di spedizione: EUR 23,00

Da: Germania a: U.S.A.

Destinazione, tempi e costi

Quantit�: 2 disponibili

Aggiungi al carrello

Foto dell'editore

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

Editore: Springer, 2021

ISBN 10: 3030705412 ISBN 13: 9783030705411

Nuovo Rilegato

Da: Ria Christie Collections, Uxbridge, Regno Unito

Valutazione del venditore 5 su 5 stelle

Condizione: New. In. Codice articolo ria9783030705411_new

Contatta il venditore

Compra nuovo

EUR 182,20

Convertire valuta

Spese di spedizione: EUR 14,16

Da: Regno Unito a: U.S.A.

Destinazione, tempi e costi

Quantit�: Pi� di 20 disponibili

Aggiungi al carrello

Immagini fornite dal venditore

Metaheuristics in Machine Learning: Theory and Applications

Diego Oliva

Editore: Springer International Publishing, 2021

ISBN 10: 3030705412 ISBN 13: 9783030705411

Nuovo Rilegato

Da: AHA-BUCH GmbH, Einbeck, Germania

Valutazione del venditore 5 su 5 stelle

Buch. Condizione: 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. Codice articolo 9783030705411

Contatta il venditore