%0 Journal Article
%T 基于线性回归的乙醇偶合制备C4烯烃模型研究<br>Study on the Model of C4 Olefins Prepared by Ethanol Coupling Based on Linear Regression
%A 岳坤
%A 马俊杰
%A 庹明伟
%A 谢素霞
%J Modeling and Simulation
%P 358-367
%@ 2324-870X
%D 2022
%I Hans Publishing
%R 10.12677/MOS.2022.112032
%X C4烯烃是一种重要的化工原材料，它广泛应用于药品行业的生产、化工产品的生成等众多领域。为探索乙醇催化偶合制备C4烯烃的工艺条件，本文提出了基于多元线性回归的乙醇偶合制备C4烯烃模型。该模型创新性地将回归算法引入传统的化学反应实验之中，将化学反应条件设置为虚拟变量，通过显著性检验和计算得到变量的回归系数，分析各变量和反应条件对制备C4烯烃的影响，从而找出最佳反应条件，并通过实验和算例验证了模型的有效性和准确性。<br />
C4 olefin is an important chemical raw material, and is widely used in the production of pharmaceutical industry, chemical products and many other fields. In order to explore the technological conditions for the preparation of C4 olefin by ethanol catalytic coupling, a model for the preparation of C4 olefin by ethanol coupling based on multiple linear regression was proposed. The model innovatively introduces the regression algorithm into the traditional chemical reaction experiment. We set the chemical reaction conditions as virtual variables, obtained the regression coefficients of the variables through significance test and calculation, analyzed the effects of various variables and reaction conditions on the preparation of C4 olefins, so as to find out the best reaction conditions, and verified the effectiveness and accuracy of the model through experiments and examples.
%K C4烯烃，最佳反应条件，多元线性回归模型，回归算法<br>C4 Olefin
%K Optimum Reaction Conditions
%K Multiple Linear Regression Model
%K Regression Algorithm
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=49332