Analysis of the magnitude effect of ethanol conversion and C4 olefin selectivity based on bilinear support vector machines
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Shi, Qiang; Liu, Sha; Shao, Haijian (Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China)
Inhalt:
Chemical-related areas can benefit from the use of bilinear support vector machines for categorization. In this paper, the effects of various catalyst combinations and temperatures on ethanol conversion and C4 olefin selectivity are investigated, the effects of various indicators on catalytic efficiency are calculated using machine learning algorithms, various classification methods based on machine learning are constructed, and their classification effects are finally correlated and tested.