Prediction Model for Aromatization Reacting System of LPG Based on BackPropagation Neural Network

Abstract In this paper，backpropagation neural network was applied to the system of LPG aromatizationThe neural network model of this reacting system was established under given reacting conditions.The networks 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.

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	LI Xiao-Hui
	ZHU Jian-Hua
	WU Ben-Cheng
	HAO Dai-Jun

Keywords： LPG aromatization BP neural network model prediction

About author: 黎小辉（1986-），男，陕西渭南人，博士研究生。

Cite this article:

LI Xiao-Hui, ZHU Jian-Hua, WU Ben-Cheng, HAO Dai-Jun.Prediction Model for Aromatization Reacting System of LPG Based on BackPropagation Neural Network[J] Chemcial Industry and Engineering, 2012,V29(01): 39-42