Academic Journal of Environment & Earth Science, 2020, 2(1); doi: 10.25236/AJEE.2020.020102.
Dacheng Song
Department of Library, Information and Archives, Shanghai University, Shanghai 200444
This article focuses on the question of how to optimize the main operating steps of the desulfurization process. According to the correlation analysis, the residual analysis method based on the stepwise forward regression and the generalized least square method are used to establish the octane loss model, and finally the genetic algorithm is used to accelerate Calculate and reasonably analyze how the desulfurization process reduces the loss of octane number in the operation steps.
margin analysis method, maximum information coefficient, genetic algorithm
Dacheng Song. Model of Octane Number Loss Based on Margin Analysis. Academic Journal of Environment & Earth Science (2020) Vol. 2 Issue 1: 6-15. https://doi.org/10.25236/AJEE.2020.020102.
[1] Han Zhongzhi, Wan Jianhua, Liu Kangwei. Gasoline octane number prediction and model optimization based on near-infrared spectroscopy [J]. Analysis Laboratory, 2015, 34 (11): 1268-1271.
[2] Jiang Feng, Zhu Jialing, Hu Kaiyong, Xin Guanglei, Zhao Yangyang. Application study of Pearson correlation coefficient to evaluate the characteristics of ORC system evaporator [J]. Acta Solar Energy, 2019, 40 (10): 2732-2738.
[3] Reshef, Reshef Y A, Finucane H K, et al. Detecting Novel Associations in Large Data Sets [J]. Science, 2011, 334 (6062): 1518-1524.
[4] J J E Slotine, W Li.Applied nonlinear control [M]. EnglewoodCliffs, USA: Prentice-Hall, 1991.
[5] Wang Tiefang. Computer genetics: Grid trust model based on family genes [M]. Beijing: Intellectual Property Press, 155, 2016.
[6] Shi Xianjun, Liao Jian, Ma Changli, et al. Generalized Least Squares Parameter Identification and Simulation Based on MATLAB [J]. Computer and Digital Engineering, 2009 (08): 179-181.