首页|Study Results from Tongji University Update Understanding of Machine Learning (A Robust Approach for Bond Strength Prediction of Mortar Using Machine Learning W ith Shap Interpretability)
Study Results from Tongji University Update Understanding of Machine Learning (A Robust Approach for Bond Strength Prediction of Mortar Using Machine Learning W ith 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 originating fromShanghai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Application of machinelearning (ML) in predicting mortars bond strength contributes to low experimental cost a nd high accuracy.This study explores the performance of four ML models-Back Pro pagation Neural Network (BPNN),Support Vector Regression (SVR), Random Forest ( RF), and eXtreme Gradient Boosting (XGBoost)-using 304 experimental data points for training and 76 results for testing.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningTongji University
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