首页|Studies Conducted at University of South Africa on Machine Learning Recently Rep orted (Explainable Machine Learning Models for Predicting the Ultimate Bending C apacity of Slotted Perforated Cold-formed Steel Beams Under Distortional Bucklin g)
Studies Conducted at University of South Africa on Machine Learning Recently Rep orted (Explainable Machine Learning Models for Predicting the Ultimate Bending C apacity of Slotted Perforated Cold-formed Steel Beams Under Distortional Bucklin g)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Johannesburg, South A frica, by NewsRx editors, research stated, “This study developsexplainable mach ine learning (ML) models to predict the ultimate bending capacity of cold-formed steel(CFS) beams with staggered slotted perforations, focusing on distortional buckling behavior. Utilizing adataset from 432 non-linear finite element analy sis simulations of CFS Lipped channels, ten ML algorithms,including four basic and six ensemble models, were evaluated.”
JohannesburgSouth AfricaAfricaCybo rgsEmerging TechnologiesMachine LearningUniversity of South Africa
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