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公开(公告)号:US20220301661A1
公开(公告)日:2022-09-22
申请号:US17631080
申请日:2020-12-02
Inventor: Wenli DU , Minglei YANG , Weimin ZHONG , Feng QIAN , Zhi LI
Abstract: A method and system for predicting products of an aromatic hydrocarbon isomerization production process are provided. The method includes generating multiple initial sample points, using a mechanism the actual output response values of all of the initial sample points; establishing an radial basis function (RBF) model according to the initial sample points and actual output response values thereof; using a particle swarm optimization (PSO) algorithm to find expected deviation between nearest neighbors as well as the sampling point having the largest sparsity product, using mechanism model to calculate the output response value of said sampling point on RBF model, adding output response value into the sample points, and reconstructing the surrogate model; repeating the previous step until the upper limit for the number of sample points is reached to obtain a final RBF model; and using the RBF model to predict product yield of aromatic hydrocarbon isomerization.