Robotics & Machine Learning Daily News2024,Issue(Jul.10) :9-10.

Mansoura University Reports Findings in Machine Learning (Prediction and reliabi lity analysis of shear strength of RC deep beams)

Robotics & Machine Learning Daily News2024,Issue(Jul.10) :9-10.

Mansoura University Reports Findings in Machine Learning (Prediction and reliabi lity analysis of shear strength of RC deep beams)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Mansoura, Eg ypt, by NewsRx editors, the research stated, “This study exploresmachine learni ng (ML) capabilities for predicting the shear strength of reinforced concrete de ep beams(RCDBs). For this purpose, eight typical machine-learning models, i.e., symbolic regression (SR), XGBoost(XGB), CatBoost (CATB), random forest (RF), L ightGBM, support vector regression (SVR), artificialneural networks (ANN), and Gaussian process regression (GPR) models, are selected and compared basedon a d atabase of 840 samples with 14 input features.”

Key words

Mansoura/Egypt/Africa/Cyborgs/Emergi ng Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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