Advances and opportunities in machine learning for process data analytics

In this paper we introduce the current thrust of development in machine learning and artificial intelligence, fueled by advances in statistical learning theory over the last 20 years and commercial successes by leading big data companies. Then we discuss the characteristics of process manufacturing...

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Bibliographic Details

Published in:	Computers & chemical engineering Vol. 126; pp. 465 - 473
Main Authors:	Qin, S. Joe, Chiang, Leo H.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 12.07.2019
Subjects:	Artificial intelligence Industrial operations Industry 4.0 Latent variable methods Machine learning Neural networks Process data analytics Neural networks Machine learning Industrial operations Process data analytics Industry 4.0 Artificial intelligence Latent variable methods
ISSN:	0098-1354
Online Access:	Get full text
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