首页|Data on Machine Learning Described by Researchers at Van Lang University (Hybrid Machine Learning With Optimization Algorithm and Resampling Methods for Patch L oad Resistance Prediction of Unstiffened and Stiffened Plate Girders)
Data on Machine Learning Described by Researchers at Van Lang University (Hybrid Machine Learning With Optimization Algorithm and Resampling Methods for Patch L oad Resistance Prediction of Unstiffened and Stiffened Plate Girders)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting out of Ho ChiMinh City, Vietnam, by NewsRx editors , research stated, “This paper aims to propose a new hybridMachine Learning (ML ) with Egret Swarm Optimization Algorithm (ESOA) and Weighted RelevancebasedCo mbination Strategy (WERCS) methods for predicting the patch loading resistance ( PLR) ofboth longitudinally unstiffened and stiffened plate girders. A dataset o f both stiffened and unstiffenedplate girders under patch loading are collected and used for training and testing to generate the proposedmodels.”
Ho Chi Minh CityVietnamAsiaAlgorit hmsCyborgsEmerging TechnologiesMachine LearningVan Lang University
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