首页|Research Data from Soochow University Update Understanding of Machine Learning ( A Machine Learning-based Method for Predicting the Shear Behaviors of Rock Joint s)
Research Data from Soochow University Update Understanding of Machine Learning ( A Machine Learning-based Method for Predicting the Shear Behaviors of Rock Joint s)
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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 reportingfrom Suzhou, People’s Republic of China, by NewsRx journalists, research stated, “In this study, machinelearning predic tion models (MLPMs), including artificial neural network (ANN), support vector r egression(SVR), K-nearest neighbors (KNN), and random forest (RF) algorithms, w ere developed to predict thepeak shear stress values and shear stress-displacem ent curves of rock joints. The database used contained693 records of peak shear stress and 162 original shear stress-displacement curves derived from direct shear tests.”
SuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSoochow University
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