首页|New Findings from Jaypee University of Information Technology in the Area of Machine Learning Described (A Robust Approach To Shear Strength Prediction of Reinforced Concrete Deep Beams Using Ensemble Learning With Shap Interpretability)
New Findings from Jaypee University of Information Technology in the Area of Machine Learning Described (A Robust Approach To Shear Strength Prediction of Reinforced Concrete Deep Beams Using Ensemble Learning With Shap Interpretability)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Himachal Prades, India, by NewsRx correspondents, research stated, “The behavior ofreinforced concrete (RC) deep beams is complex and difficult to predict due to factors such as compressiveand shear stress and beam geometry. To address this challenge, researchers have proposed various machinelearning models such as Artificial Neural Network, Decision Tree, Support Vector Machine, AdaptiveBoosting, Extreme Gradient Boosting, Random Forest, Gradient Boosting, and Voting Regressor.”
Himachal PradesIndiaAsiaCyborgsEmerging TechnologiesMachine LearningJaypee University of Information Technology
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