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An adaptive soft sensor for online monitoring melt index (MI), an important variable determining the product quality in the industrial propylene polymerization (PP) process, is proposed, where fuzzy neural network (FNN) is served as the basic model for its powerful nonlinear approximation ability as a machine learning method. However, considering the difficulty of structure determination of the FNN,...
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