| 書(shū)目名稱 | Machine Learning Algorithms for Industrial Applications |
| 編輯 | Santosh Kumar Das,Shom Prasad Das,Aboul-Ella Hassa |
| 視頻video | http://file.papertrans.cn/621/620379/620379.mp4 |
| 概述 | 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 |
| 叢書(shū)名稱 | Studies in Computational Intelligence |
| 圖書(shū)封面 |  |
| 描述 | This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry.?.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.? ?. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | Computational Intelligence; Ad-hoc & Sensor Network; Decision Making System; Image Processing; Intrusion |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-50641-4 |
| isbn_softcover | 978-3-030-50643-8 |
| isbn_ebook | 978-3-030-50641-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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