首页|Anhui Agricultural of University Details Findings in Machine Learning (Ensemble Machine Learning and Shapley Additive Explanations for the Ability of C-s-h Seed s To Accelerate Cement Hydration)
Anhui Agricultural of University Details Findings in Machine Learning (Ensemble Machine Learning and Shapley Additive Explanations for the Ability of C-s-h Seed s To Accelerate Cement Hydration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting originating from Hefei, People's Re public of China, by NewsRx correspondents, research stated, "Due to the complexi ty of the reaction mechanism of calcium-silicate-hydrate (C-S-H) seeds in cement , the influence pattern of various factors, especially Ca/Si, on the acceleratio n ability of C-S-H seeds is controversial. This study explored the use of ensemb le machine learning and Shapley additive explanations (SHAP) to identify the pot ential relations between various factors and the acceleration effect of C-S-H se eds." Financial supporters for this research include Anhui Provincial Quality Engineer ing Project, Anhui Provincial Quality Engineering Project.
HefeiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningAnhui Agricultural of Univers ity
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