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针对中国石化总公司从美国HSI公司引进的GRTMPS-Ⅱ（GeneralizedRefining－Transportation－MarketingPlanningSystem）软件在实际应用中遇到的不确定性问题—二次加工装置产品收率数据，提出了利用ANN（ArtificialNeuralNetwork）技术，以历史数据作为网络的样本，建立二次加工装置产品收率的预测模型，很好地解决了为GRTMPS提供合理初值的问题，加快收敛速度，收到了很好的效果。
In view of the uncertainty of actual application of GRTMPS-Ⅱ (GeneralizedRefining-Transportation-MarketingPlanningSystem) software introduced by HSI Corporation of China National Petrochemical Corporation (SINOPEC), the yield data of secondary processing equipment, this paper put forward the use of Artificial Neural Network (ANN) Technology, the historical data as a sample of the network, the establishment of secondary processing plant product yield prediction model, a good solution to the GRTMPS to provide a reasonable initial value of the problem, speed up the convergence rate, received good results.