Article ID Journal Published Year Pages File Type
7007302 Chemical Engineering Research and Design 2015 11 Pages PDF
Abstract
A novel double parallel extreme learning machine with Pearson correlation coefficient based independent subnets (PCCIS-DPELM) is proposed for accurately modeling complex chemical processes.
Keywords
Related Topics
Physical Sciences and Engineering Chemical Engineering Filtration and Separation
Preview
Data driven soft sensor development for complex chemical processes using extreme learning machine
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