Abstract:The accuracy of the predicted value of specific surface area plays a significant guiding function in the production and scheduling of cement, as it is a major index impacting the quality of cement. However, due to data characteristics in the cement grinding process, such as time delay, strong coupling and nonlinearity, and the traditional prediction model being a static small sample feature acquisition method based on time correlation, problems such as poor data feature representation and low accuracy exist. I… Show more
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