首页|Researchers at China University of Geosciences Have Reported New Data on Machine Learning (A Borehole Clustering Based Method for Lithological Identification Us ing Logging Data)
Researchers at China University of Geosciences Have Reported New Data on Machine Learning (A Borehole Clustering Based Method for Lithological Identification Us ing Logging Data)
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 DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Hubei, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years,geoscientists have been employing machine learning techniques to automate lithological identificat ion byintegrating well logging data. However, in geologically complex regions, few have taken into considerationthe differences between boreholes and the unev en distribution of lithology.”
HubeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChina University of Geoscienc es
NETL
NSTL
