Robotics & Machine Learning Daily News2024,Issue(Sep.2) :74-75.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.2) :74-75.

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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Abstract

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.”

Key words

Ho Chi Minh City/Vietnam/Asia/Algorit hms/Cyborgs/Emerging Technologies/Machine Learning/Van Lang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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