摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器学习的新报告。根据News Rx记者来自澳大利亚卡尔古利的新闻报道，研究称：“这项研究旨在通过智能和统计方法，对现有的岩石强度和变形参数以及裂缝应力阈值知识做出独特贡献，并将其应用到包含各种岩石类型（即沉积岩、火成岩和变质岩）的数据库中。该数据库包含物理力学和超声参数。”
Abstract
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.”
NETL
NSTL