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- W2365388849 abstract "For the complicated Pb Zn sintering process, an approach that integrates two models to predicting the burning through point(BTP) was presented. The first method uses BP neural network and Levenberg Marquardt algorithm to predict BTP; the second method uses metallurgical and control expert knowledge and skilled operator experiences of the sintering process. Two results are combined by using optimal combination algorithm as general modeling results of the burning through point. Through the analysis of the industrial site modeling experiment, the results show that the integration of two model can show the real time production exactly." @default.
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- W2365388849 date "2002-01-01" @default.
- W2365388849 modified "2023-09-25" @default.
- W2365388849 title "Integrated model for predicting burning through point of sintering process based on optimal combination algorithm" @default.
- W2365388849 hasPublicationYear "2002" @default.
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