Author(s)

Mengyi Feng ¹, Liwei Yang ¹, Xue Wang ¹

Affiliation(s)

¹ School of Mathematical Sciences, Chongqing Normal University, Chongqing, 401331, China

Corresponding Author

Mengyi Feng

ABSTRACT

To explore the process conditions for the preparation of C4 olefins by ethanol coupling is of great significance to better promote the production of pharmaceutical and chemical products, so this paper focuses on the problems under this background. Firstly, the radar diagrams of ethanol conversion and C4 olefin selectivity of various catalyst combinations at different temperatures are drawn by using Matlab software, and then based on the idea of backward propagation algorithm, neural network model I is established. The coefficients in the model were solved by Python, and the relationship between the temperature of each catalyst and ethanol conversion and C4 olefin selectivity was obtained. It is concluded that in order to achieve the highest selectivity of C4 olefins, the temperature should be controlled reasonably and the catalyst should be optimized.

KEYWORDS

Preparation of olefin, Matlab, Neural network, Thermal map

CITE THIS PAPER

Mengyi Feng, Liwei Yang, Xue Wang, Study on Preparation of Ethanol-coupled Olefins Based on Neural Network Algorithm. Journal of Electronics and Information Science (2022) Vol. 7: 103-107. DOI: http://dx.doi.org/10.23977/jeis.2022.070118.

REFERENCES

[1] LV Shaopei Preparation of butanol and C by ethanol coupling_ 4 olefins [D] Dalian University of technology.
[2] Lu Wendai SPSS statistical analysis (Fifth Edition) [M] Beijing: Electronic Industry Press, 2012.
[3] Lu Hongtao, Zhang Qinchuan. A review of the application of deep convolution neural network in computer vision [J]. Data acquisition and processing, 2016, 31 (01): 1-17.
[4] Jiang Qiyuan, Xie Jinxing, ye Jun mathematical model (Fifth Edition) [M] Beijing: Higher Education Press, 2018.

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