| 基于随机森林与L-M算法的C4烯烃制备优化模型 |
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| 引用本文： | 蒋梓浩,任涛,周祺,骆加冕.基于随机森林与L-M算法的C4烯烃制备优化模型[J].吉首大学学报(自然科学版),2022,43(3):79-83. |
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| 作者姓名： | 蒋梓浩 任涛 周祺 骆加冕 |
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| 作者单位： | (东北大学软件学院，辽宁 沈阳 110169) |
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| 基金项目： | 中央高校基本科研业务费资助项目(N181706001，N2017009)；辽宁省自然科学基金国家重点实验室资助项目(2020-KF-12-11) |
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| 摘 要： | 探究合适的催化剂组合和温度对乙醇偶合制备烯烃有着重要意义.首先，利用方差分析筛选重要影响因子；然后，通过随机森林算法分析出影响因子对乙醇转化率、C4烯烃选择性的重要程度排序：温度>催化剂质量>乙醇进样量>Co负载量>装料比；最后，利用L-M算法进行多元非线性回归，以C4烯烃收率最优为目标并借助粒子群算法得到C4烯烃收率最优值为42.5485%.
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| 关 键 词： | 随机森林 L-M算法 C4烯烃制备 粒子群算法 |
Optimization Model for C4 Olefin Preparation Based on Random Forest and L-M Algorithm |
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| JIANG Zihao,REN Tao,ZHOU Qi,LUO Jiamian.Optimization Model for C4 Olefin Preparation Based on Random Forest and L-M Algorithm[J].Journal of Jishou University(Natural Science Edition),2022,43(3):79-83. |
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| Authors: | JIANG Zihao REN Tao ZHOU Qi LUO Jiamian |
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| Institution: | (School of Software,Northeastern University,Shenyang 110169,Liaoning China) |
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| Abstract: | It is important to investigate the catalyst combination and temperature on the preparation of olefins by ethanol coupling.Firstly,ANOVA was used to screen the important influencing factors;then,the importance of the influencing factors on ethanol conversion and C4 olefin selectivity was analyzed by random forest algorithm:temperature>catalyst mass>ethanol concentration>Co loading>charging ratio;finally,multiple non-linear regression was performed by L-M algorithm,and the optimal C4 olefin yield was obtained with particle swarm algorithm.The optimal value was 42.548 5%. |
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| Keywords: | random forest L-M algorithm C4 olefin preparation particle swarm algorithm |
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