首页|Research from Suzhou University of Science and Technology in the Area of Machine Learning Described (Prediction of Soil Compaction Parameters Using Machine Lear ning Models)
Research from Suzhou University of Science and Technology in the Area of Machine Learning Described (Prediction of Soil Compaction Parameters Using Machine Lear ning Models)
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 – New research on artificial intelligenc e is the subject of a new report. According to newsoriginating from Suzhou, Peo ple’s Republic of China, by NewsRx editors, the research stated, “MaximumDry De nsity (MDD) and Optimum Moisture Content (OMC) are two important parameters of s oil filling,which affect the soil stability and bearing capacity, and thus the reliability and durability of facilities suchas highways and bridges.”
Suzhou University of Science and Technol ogySuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesM achine Learning