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The soft sensor of the molten steel temperature using the modified maximum entropy based pruned bootstrap feature subsets ensemble method

Article ID Journal Published Year Pages File Type
6588347 Chemical Engineering Science 2018 12 Pages PDF
Keywords
Soft sensorChemical processData-driven modelEnsemble pruningMachine learning
Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
Preview
The soft sensor of the molten steel temperature using the modified maximum entropy based pruned bootstrap feature subsets ensemble method
Authors
Xiao-Jun Wang, Xiao-Yan Wang, Qiang Zhang, Zhi-Zhong Mao,
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Journal
Chemical Engineering Science
Journal: Chemical Engineering Science
Related Categories
Soft sensor
Chemical process
Data-driven model
Ensemble pruning
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Catalysis
Chemical Engineering (General)
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Colloid and Surface Chemistry
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Fluid Flow and Transfer Processes
Process Chemistry and Technology
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