Fast Locally Weighted PLS Modeling for Large-Scale Industrial Processes
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
Funder
National Natural Science Foundation of China
Ningbo 13th Five-year Marine Economic Innovation and Development Demonstration Project
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.0c03932
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1. Data Mining and Analytics in the Process Industry: The Role of Machine Learning
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5. A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking
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