Study Data from Wuhan University of Technology Update Knowledge of Machine Learn ing (Exploring the Core-shell Structure of Batio3-based Dielectric Ceramics Usin g Machine Learning Models and Interpretability Analysis)
Study Data from Wuhan University of Technology Update Knowledge of Machine Learn ing (Exploring the Core-shell Structure of Batio3-based Dielectric Ceramics Usin g Machine Learning Models and Interpretability Analysis)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Wuhan, People’s Republ ic of China, by NewsRx editors, research stated, “A machine learning (ML)-based random forest (RF) classification model algorithm was employed to investigate th e main factors affecting the formation of the core-shell structure of BaTiO3-bas ed ceramics and their interpretability was analyzed by using Shapley additive ex planations (SHAP).” Financial support for this research came from National Key Research and Developm ent Program of China.
Key words
Wuhan/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Wuhan University of Technolog y
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