Study on preparation of C4 olefins by ethanol coupling based on linear regression

Ting Zhang; Zouying Yan; Haitao Cui

doi:10.1117/12.2639647

17 May 2022 Study on preparation of C4 olefins by ethanol coupling based on linear regression

Ting Zhang, Zouying Yan, Haitao Cui

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593X (2022) https://doi.org/10.1117/12.2639647
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 2022, Kunming, China

Abstract

In this paper, the relationship between catalyst combination, temperature and C4 olefin yield is obtained by analysing the correlation coefficient matrix and xgboost algorithm. The regression equation between C4 olefin yield and catalyst combination and temperature is established by using a multiple linear regression model. A simulated annealing algorithm solved the maximum yield and optimal reaction conditions. The study of this problem has guiding significance for similar organic chemistry experiments and industrial production.

Citation Download Citation

Ting Zhang, Zouying Yan, and Haitao Cui "Study on preparation of C4 olefins by ethanol coupling based on linear regression", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593X (17 May 2022); https://doi.org/10.1117/12.2639647

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available