首页|Study Results from Zhejiang University Update Understanding of Machine Learning (Estimation of the Water Level Variations In the 2022 Tonga Tsunami Event Based On Multiple Machine Learning Models)
Study Results from Zhejiang University Update Understanding of Machine Learning (Estimation of the Water Level Variations In the 2022 Tonga Tsunami Event Based On Multiple Machine Learning 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 - A new study on Machine Learning is now available. According to news reporting fromHangzhou, People’s Republic of Chin a, by NewsRx journalists, research stated, “In this study, four machinelearning models are applied to estimate the water level variations recorded at three buo y stations duringthe 2022 Tonga tsunami. A new model performance evaluation met ric, the lag degree, is introduced tocompensate for the limitations of the conv entional evaluation metrics (such as RMSE and R-2 values),which could specify t he lag extent, thus lag failure, between the estimated and original time series data.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
NETL
NSTL
