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- W2384656281 abstract "Modeling and control of ethylene cracking severity is very important to the real-time optimization of cracking furnace.To address the problem with the complexity and volatility of naphtha feedstock components,fuzzy kernel clustering method was developed to divide the naphtha database optimally.After establishing multiple models of least squares support vector machine(LSSVM),in order to improve the model accuracy and generalization ability,differential evolution algorithm was used to determine the proper parameters of the LSSVM model.We established each sub-model based on the sub-condition in ethylene cracking process,also the switching strategy was based on weighted value.The simulation results on the real industrial data showed that DE-LSSVM multiple models of ethylene cracking severity based on fuzzy kernel clustering got good tracking performance and high accuracy." @default.
- W2384656281 created "2016-06-24" @default.
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- W2384656281 date "2012-01-01" @default.
- W2384656281 modified "2023-09-25" @default.
- W2384656281 title "Multiple DE-LSSVM modeling of ethylene cracking severity based on fuzzy kernel clustering" @default.
- W2384656281 hasPublicationYear "2012" @default.
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