作者: R. Viswanathan , Pijush Samui
DOI: 10.1016/J.GSF.2015.04.002
关键词: Regression 、 Extreme learning machine 、 Support vector machine 、 Geology 、 Artificial intelligence 、 Geographic coordinate system 、 Spatial variability 、 Ground-penetrating radar 、 Point (geometry) 、 Kriging
摘要: This article adopts three artificial intelligence techniques, Gaussian Process Regression (GPR), Least Square Support Vector Machine (LSSVM) and Extreme Learning (ELM), for prediction of rock depth (d) at any point in Chennai. GPR, ELM LSSVM have been used as regression techniques. Latitude longitude are also adopted inputs the models. The performance ELM, GPR models has compared. developed produce spatial variability offer robust depth.