Assertion: liquefied petroleum gas | /r/CapableOf | crack critical product yield
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text: Beneficial effect of the present invention is, the inventive method builds at first respectively the Multilayer Perception BP neural network of cracking critical product, utilize mechanism model software building cracking yield model simultaneously, carry out model tuning and produce emulated data in conjunction with field data, utilize particle cluster algorithm (PSO) to be optimized training to neural network model, obtain connection weights and the bias of model, after the deviation of the propylene and ethylene ratio obtained at contrast industry spot propylene and ethylene ratio and model emulation, verified the accuracy of model, then utilize this model to be predicted liquefied petroleum gas (LPG) cracking critical product yield, can utilize this model to optimize and calculate the cracking stock composition by PSO simultaneously, thereby obtain making the optimum raw liquefied petroleum gas of cracking product total revenue maximum to form distribution.