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- W2371585900 abstract "To build an accurate soft-sensor model of polypropylene melt index,a new method was proposed based on first principle and enhanced fuzzy c-means(FP-EFCM).According to polymerization mechanism,the mechanism structure framework of soft sensor model for polypropylene melt index was obtained and used as the consequent structure of the Takagi-Sugeno(T-S) fuzzy model.Then EFCM was used to identify the premise parameters of the T-S model.The results show that this method retains the physical meaning of the model parameters and improves the model accuracy.The soft-sensor model has good prediction performance." @default.
- W2371585900 created "2016-06-24" @default.
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- W2371585900 date "2009-01-01" @default.
- W2371585900 modified "2023-09-22" @default.
- W2371585900 title "Soft sensor method for polypropylene melt index based on FP-EFCM" @default.
- W2371585900 hasPublicationYear "2009" @default.
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