首页|Study Data from School of Science Update Understanding of Machine Learning (Inte rpretable machine learning methods to predict the mechanical properties of ABX3 perovskites)
Study Data from School of Science Update Understanding of Machine Learning (Inte rpretable machine learning methods to predict the mechanical properties of ABX3 perovskites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Sligo, Irela nd, by NewsRx correspondents, research stated, “This paper proposes the utility of interpretable ensemble learning models for predicting the mechanical properti es (bulk, shear and Young moduli) of ABX3 perovskite compounds with the A, B, an d X referring to the 3 elements that make the cubic 3-dimensional framework of t he perovskite compounds. These models consist of 3 ensemble learning techniques namely CatBoost, Random Forest, and XGBoost.”
School of ScienceSligoIrelandEurop eCyborgsEmerging TechnologiesMachine Learning
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