An intelligent hybrid feature subset selection and production pattern recognition method for modeling steam cracking process
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DOI: 10.1016/j.jaap.2021.105352
Abstract: Abstract A data-driven model framework integrating Feature Subset Selection (FSS), production pattern clustering analysis and prediction was proposed for predicting ethylene yield of ethylene plant by using the massive sensing data recorded by the Distributed… read more here.
Keywords: production pattern; model; production; steam cracking ... See more keywords