Prediction Model for Aromatization Reacting System of LPG Based on BackPropagation Neural Network
LI Xiao-Hui, ZHU Jian-Hua, WU Ben-Cheng, HAO Dai-Jun
(1.College of Chemical Engineering， China University of Petroleum， Beijing 102249， China；2.SINOPEC Luoyang Petrochemical Engineering Corporation, Luoyang 471003, China）
Abstract：
In this paper，backpropagation neural network was applied to the system of LPG aromatizationThe neural network model of this reacting system was established under given reacting conditions.The networks training results have achieved present requirements and the network output could match the experimental data well.This model could predict products distribution of the LPG aromatization system under given conditions.The results could provide some reference for further development on LPG aromatization，prediction of product distribution and simulation of the industrial processes.
LI Xiao-Hui, ZHU Jian-Hua, WU Ben-Cheng, HAO Dai-Jun.Prediction Model for Aromatization Reacting System of LPG Based on BackPropagation Neural Network[J]. Chemcial Industry and Engineering, 2012,29(01): 39-42
2012, Vol. 29 
