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将BP神经网络应用于液化石油气芳构化反应体系,建立了该体系在指定反应条件下的神经网络模型,网络的训练结果达到了预设要求,且网络输出结果与试验值能够较好的吻合,所建模型能较准确地预测指定反应条件下该体系的产物分布状况。分析结果可为LPG芳构化技术的进一步开发、生产过程中的产物分布预测和工业过程的模拟提供一些指导。
The BP neural network is applied to the aromatization reaction system of liquefied petroleum gas. The neural network model of the system under the specified reaction conditions is established. The training results of the network reach the preset requirements, and the network output results and experimental values can be better Agreement, the model can be more accurately predict the product under the specified reaction conditions the distribution of the product. The results of the analysis can provide some guidance for the further development of LPG aromatization technology, the prediction of product distribution in the production process and the simulation of industrial process.