Novel Deep Learning Based on Data Fusion Integrating Correlation Analysis for Soft Sensor Modeling-Reference-Cited by-同舟云学术

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Novel Deep Learning Based on Data Fusion Integrating Correlation Analysis for Soft Sensor Modeling

Published:2021-07-01 Issue:27 Volume:60 Page:10001-10010
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wu Hao¹²,Han Yongming¹²^ORCID,Jin Jianyu³,Geng Zhiqiang¹²^ORCID

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China

2. Engineering Research Center of Intelligent PSE, Ministry of Education of China, Beijing 100029, China

3. University of International Business and Economics, Beijing 100029, China

Funder

Ministry of Education of the People's Republic of China

National Natural Science Foundation of China

Guizhou Province

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c01131

Reference43 articles.

1. Inferential Model for Industrial Polypropylene Melt Index Prediction with Embedded Priori Knowledge and Delay Estimation

2. Optimal Grade Transitions in the High-Impact Polystyrene Polymerization Process

3. Multi-similarity measurement driven ensemble just-in-time learning for soft sensing of industrial processes

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