Electronic Resource

Metaheuristics in Machine Learning: Theory and Applications

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001389	EB0001995	006.31 Met	Central Library	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

006.31 Met

Publisher

Switzerland : Springer Cham., 2021

Collation

xiv, 769p.:Ill

Language

English

ISBN/ISSN

978-3-030-70542-8

Classification

006.31

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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