Salvador Hinojosa & Essam H. Houssein 
Metaheuristics in Machine Learning: Theory and Applications [EPUB ebook] 

Soporte

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.

€179.94
Métodos de pago
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato EPUB ● ISBN 9783030705428 ● Editor Salvador Hinojosa & Essam H. Houssein ● Editorial Springer International Publishing ● Publicado 2021 ● Descargable 3 veces ● Divisa EUR ● ID 8033174 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM

Más ebooks del mismo autor / Editor

16.795 Ebooks en esta categoría