| 书目名称 | Machine Learning in Industry |
| 编辑 | Shubhabrata Datta,J. Paulo Davim |
| 视频video | |
| 概述 | Guides on adopting data science and machine learning.Covers several machine learning techniques.Includes case studies on solving practical industrial problems |
| 丛书名称 | Management and Industrial Engineering |
| 图书封面 |  |
| 描述 | This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems. |
| 出版日期 | Book 2022 |
| 关键词 | Industrial Engineering; Industrial Informatics; Applications of Machine Learning; Industrial Applicatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-75847-9 |
| isbn_softcover | 978-3-030-75849-3 |
| isbn_ebook | 978-3-030-75847-9Series ISSN 2365-0532 Series E-ISSN 2365-0540 |
| issn_series | 2365-0532 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:29:58
