Author(s)

Tianye He ¹

Affiliation(s)

¹ Yancheng Institute of Technology, College of Civil Engineering, Jiangsu, YanCheng, 224002

Corresponding Author

Tianye He

ABSTRACT

In this paper, a grey correlation analysis model based on BP neural network is established for the preparation of C4 olefins by ethanol coupling. Firstly, the grey correlation analysis of ethanol conversion, C4 olefin selectivity and its influencing factors was carried out, and the correlation degree of 5 factors in the catalyst combination was obtained. Then, the BP neural network structure is constructed to predict the obtained correlation degree. It is concluded that the average relative error between the calculated correlation degree and the predicted correlation degree is 1.7%, which verifies the rationality of the model. Finally, the residual analysis of the results shows that the absolute error is 5.3%.

KEYWORDS

BP Neural Network, Grey Correlation, Catalyst Combination

CITE THIS PAPER

Tianye He. Research on Catalyst Combination for Ethanol Coupling Preparation of C4 Olefins Based on BP Neural Network. Industrial Engineering and Innovation Management (2021) 4: 51-54. DOI: http://dx.doi.org/10.23977/ieim.2021.040208.

REFERENCES

[1] Ge Yuena. Study on selective stacking process of C4 olefins [D]. East China University of technology, 2019
[2] Zhejiang University; Researchers Submit Patent Application, "A Method for the Separation of C4 Olefin Mixtures", for Approval (USPTO 20200172454) [J]. Chemicals & Chemistry, 2020:
[3] Application of grey correlation method and analytic hierarchy process in plant selection of potted multi headed chrysanthemum [J]. Chinese agricultural science, 2012, 45 (17): 3653-3660.

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