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In this paper, data mining technology is adopted to find correlations from massive production data to predict burning through point (BTP) of sintering process. A hybrid BTP prediction model is presented which is based on artificial neural network and multi-linear regression error compensation algorithm. In this model, the final prediction result is calculated based on both the prediction value from...
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