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- W2374130615 abstract "Dynamic change of coal gas emission is a complex nonlinear system and the traditional gas monitoring method has low accuracy.To solve the problem,the paper proposed a predictive control method for gas outburst hazard based on BP artificial neural network model.The method uses predictive model of BP artificial neural network to train and study multi-group input samples and build predictive criterion by which types of gas outburst hazard can be identified.The simulation result showed that the method can effectively solve the defects of large error and bad stability of the traditional gas outburst predictive model in accident prediction and can improve prediction precision." @default.
- W2374130615 created "2016-06-24" @default.
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- W2374130615 date "2010-01-01" @default.
- W2374130615 modified "2023-09-23" @default.
- W2374130615 title "Application Research of Model Predictive Control of Gas Outburst" @default.
- W2374130615 hasPublicationYear "2010" @default.
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