首页|Researchers from Chinese Academy of Sciences Report on Findings in Machine Learn ing (Identification of Anomaly of Tunnel Segment Strain Using an Adaptive Machin e Learning Model)
Researchers from Chinese Academy of Sciences Report on Findings in Machine Learn ing (Identification of Anomaly of Tunnel Segment Strain Using an Adaptive Machin e Learning Model)
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 – Investigators publish new report on Ma chine Learning. According to news originating from Wuhan, People’s Republic of C hina, by NewsRx correspondents, research stated, “Anomaly identification is a cr ucial issue for preventing diseases in tunnel structures. However, distinguishin g whether the structure is abnormal from outliers is challenging, as the monitor ing dataset composed of time series may contain non-structural abnormal data cau sed by operational environmental pollution.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRisk and PreventionChinese Academy of Sciences
NETL
NSTL
