摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可用。根据新闻报道NewsRx记者在中华人民共和国苏州报道，研究称：“在这项研究中，机器学习预测模型(MLPMs)，包括人工神经网络(ANN)，支持向量机回归(SVR)算法、k近邻(KNN)算法和随机森林(RF)算法被开发用来预测岩石节理剪应力峰值及剪应力-位移曲线。使用的数据库包含693条峰值剪应力记录和162条原始剪应力-位移曲线耳朵测试。
Abstract
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.”
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