首页|Investigators at University of Chile Report Findings in Machine Learning (New Eq uations To Estimate Reinforced Concrete Wall Shear Strength Derived From Machine Learning and Statistical Methods)
Investigators at University of Chile Report Findings in Machine Learning (New Eq uations To Estimate Reinforced Concrete Wall Shear Strength Derived From Machine Learning and Statistical Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating in Santiago, Chile, by NewsRx journalists, research stated, “Wall shear -strength equations reported in the l iterature and used in building codes are assessed using a comprehensive database of reinforced concrete wall tests reported to have failed in shear. Based on th is assessment, it is concluded that mean values varied significantly, and coeffi cients of variation were relatively large (>0.28) and ex ceeded the target error for a code -oriented equation defined in a companion pap er (Rojas-Leon et al. 2024).” Financial support for this research came from Chilean National Agency for Resear ch and Development (ANID) Scholarship Program/ DOCTORADO BECAS CHILE.
SantiagoChileSouth AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Chile
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