A stacking-based ensemble learning model for kneading paste quality intelligent prediction: A real case study
Qingzong Li,
Jian Xu,
Jianwei Wang
et al.
Abstract:Paste kneading is a vital process of prebaked carbon anode production, and the quality of the paste has a great impact on the quality of the final product. However, it is difficult to inspect the paste quality in line. Because the inspection of the paste quality in the laboratory is not real-time, the paste has already entered the next process after the results are obtained. And the manual quality inspection is labor-intensive and unsafe. Therefore, a stacking-based ensemble learning model for kneading paste q… Show more
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