首页|Jilin University Reports Findings in Machine Learning (Reservoir temperature pre diction based on characterization of water chemistry data-case study of western Anatolia, Turkey)
Jilin University Reports Findings in Machine Learning (Reservoir temperature pre diction based on characterization of water chemistry data-case study of western Anatolia, Turkey)
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 Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Changchun, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Reservoir temp erature estimation is crucial for geothermal studies, but traditional methods ar e complex and uncertain. To address this, we collected 83 sets of water chemistr y and reservoir temperature data and applied four machine learning algorithms.”
ChangchunPeople’s Republic of ChinaAsiaChemistryCyborgsEmerging TechnologiesMachine Learning