Machine learning prediction models for compressive strength of .
Sep 05, 2022 · The ball milling time, calcination temperature, sludge replacement rate, curing age, admixtures amount of CaCl 2 and CaSO 4 are used as input data, while compressive strength is used as the target output. The Pearson correlation analysis of the features is carried out, and the results are shown in Fig. values indie a positive correlation, while .
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