The meteorological reanalysis data has been widely applied to derive zenith tropospheric delay (ZTD) with a high spatial and temporal resolution. With the rapid development of artificial intelligence, machine learning also begins as high-efficiency tool be employed in modeling predicting ZTD. In this paper, we develop three new regional ZTD models based on least squares support vector (LSSVM), ...

In order to realize the high-accuracy prediction of steel plate camber and accurate control roll gap tilt for straightness, a fusion method with mechanism model machine learning strip at exit side is investigated. Based on basic equation transverse asymmetric rolling, mathematical curvature radius entry derived. Meanwhile, vision measuring adopted in which subpixel coordinates rolled piece edge...

Short-term wind power forecasting plays an important role in generation systems. In order to improve the accuracy of forecasting, many researchers have proposed a large number models. However, traditional models ignore data preprocessing and limitations single model, resulting low accuracy. Aiming at shortcomings existing models, combined model based on secondary decomposition technique grey wo...