Robotics & Machine Learning Daily News2024,Issue(MAY.7) :38-39.

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)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :38-39.

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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Abstract

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.

Key words

Santiago/Chile/South America/Cyborgs/Emerging Technologies/Machine Learning/University of Chile

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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