首页|Reports Outline Machine Learning Study Findings from Van Lang University (Hybrid Machine Learning With Bayesian Optimization Methods for Prediction of Patch Loa d Resistance of Unstiffened Plate Girders)
Reports Outline Machine Learning Study Findings from Van Lang University (Hybrid Machine Learning With Bayesian Optimization Methods for Prediction of Patch Loa d Resistance of Unstiffened Plate Girders)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Ho Chi Minh C ity, Vietnam, by NewsRx journalists, research stated, "This paper aims to propos e a new hybrid Machine Learning (ML) with Bayesian Optimization (BO) methods for predicting the patch loading resistance, P u of longitudinally unstiffened plat e girders. A total of 354 tests of the unstiffened plate girder under patch load ing are collected and used for the training and testing to establish the propose d models." Financial support for this research came from National Foundation for Science & Technology Development (NAFOSTED).
Ho Chi Minh CityVietnamAsiaCyborgsEmerging TechnologiesMachine LearningVan Lang University
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