【作者单位】;[ 1 ] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China [ 2 ] Tibet Univ, Sch Engn, Lhasa 850012, Peoples R China [ 3 ] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China
【年份】2017
【卷号】Vol.60
【页码】387-396
【ISSN】1568-4946
【关键词】Gaussian process regression Slope stability Covariance functions Factor of safety Bayesian modeling
【摘要】 This paper presents a stability evaluation method for slopes based on Gaussian processes , which is a popular machine learning technique for nonlinear system modeling. Covariance function is one of the most critical parts in GPs modeling, because it ...
