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Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river 期刊论文
, 2020, 卷号: 142
作者:  Phan T.-T.-H.;  Nguyen X.H.
收藏  |  浏览/下载：22/0  |  提交时间：2020/07/28
Autoregressive moving average model  Cost effectiveness  Disaster prevention  Forecasting  Learning algorithms  Water levels  Water resources  Auto-regressive integrated moving average  Computational time  Cost-effective solutions  Linear and nonlinear models  Physically based models  Statistical machine learning  Time series forecasting  Water level forecasting  Machine learning  data set  flood forecasting  forecasting method  hydrological modeling  machine learning  numerical model  performance assessment  river water  water level  Hanoi  Red River [Asia]  Viet Nam  
A long Short-Term memory cyclic model with mutual information for hydrology forecasting: A Case study in the xixian basin 期刊论文
, 2020, 卷号: 141
作者:  Lv N.;  Liang X.;  Chen C.;  Zhou Y.;  Li J.;  Wei H.;  Wang H.
收藏  |  浏览/下载：235/0  |  提交时间：2020/07/28
Brain  Flood control  Floods  Long short-term memory  Rain  Reservoirs (water)  Time series analysis  Water levels  Accurate prediction  Flood forecasting models  Forecasting modeling  Hydrology prediction  Mutual informations  Performance degradation  Reservoir water level  Time series features  Weather forecasting  artificial neural network  flood forecasting  hydrological modeling  information  rainfall  time series analysis  China  Henan  Xixian  
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms 期刊论文
, 2020, 卷号: 141
作者:  Rahman A.T.M.S.;  Hosono T.;  Quilty J.M.;  Das J.;  Basak A.
收藏  |  浏览/下载：27/0  |  提交时间：2020/07/28
Decision trees  Forecasting  Groundwater  Irrigation  Machine learning  Neural networks  Water quality  Water supply  Gradient boosting  Groundwater level forecasting  Irrigation scheduling  Key Issues  Land development  Land subsidence  Machine learning approaches  Real-world scenario  Wavelet transforms  forecasting method  groundwater  machine learning  transform  water level  water quality  wavelet analysis  Japan  Kumamoto  Kyushu