Overview
- Discusses recently developed, innovative machine learning algorithms for applications in industry
- Presents the state of the art in machine learning algorithms for a global industrial scenario
- Written by respected experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 907)
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Table of contents (17 chapters)
Keywords
About this book
The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning Algorithms for Industrial Applications
Editors: Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-50641-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-50640-7Published: 19 July 2020
Softcover ISBN: 978-3-030-50643-8Published: 20 July 2021
eBook ISBN: 978-3-030-50641-4Published: 18 July 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 315
Number of Illustrations: 47 b/w illustrations, 117 illustrations in colour