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What is SSRN 4522493 about?

This document discusses the development of a soft sensor to predict free lime (f-CaO) in clinker using industrial data, highlighting the importance of optimal feature selection from the kiln system. The study emphasizes the relationship between f-CaO and cement quality, while also analyzing various machine learning techniques and statistical models for prediction. Results indicate that multivariate polynomial models performed satisfactorily, suggesting further research opportunities for improving prediction

Author

Kenny Wong

Language

EN