首页|Recent Studies from Curtin University Add New Data to Machine Learning (Intellig ent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack St ress Thresholds)
Recent Studies from Curtin University Add New Data to Machine Learning (Intellig ent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack St ress Thresholds)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting originating from Kalgoorlie, Australia, by News Rx correspondents, research stated, “This study aims to make a unique contributi on to the existing body of knowledge about rock strength and deformation paramet ers and crack stress thresholds through intelligent and statistical approaches a pplied to a database comprising various rock types (i.e., sedimentary, igneous, and metamorphic rocks). The database contains physical-mechanical and ultrasonic parameters.”
KalgoorlieAustraliaAustralia and New ZealandAlgorithmsCyborgsEmerging TechnologiesMachine LearningCurtin U niversity