Abstract：In view of the chemical process, it is difficult to build a corresponding mechanism model, a soft sensor model based on ISOMAP-ELM is proposed. It combines ISOMAP with ELM, through the ISOMAP, the input data can reduce its dimensionality, eliminate the colinearity among each other, and extract more representative characteristics. Finally, the extracted feature components are sent to ELM to build a soft sensor model. Verification results show that the proposed algorithm has a high prediction precision,model squared error is only 0.28, and the hit rate of the soft sensor model is 94%, it can give guidance for chemical process.
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2016, Vol. 37 
