Interpretation of ensemble learning to predict water quality using explainable artificial intelligence论文
The Science of The Total Environment2022引用: 226
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China论文
Journal of Hydrology2020引用: 235
Streamflow and rainfall forecasting by two long short-term memory-based models论文
Journal of Hydrology2019引用: 353
Evaluation of empirical Bayesian kriging论文
Spatial Statistics2019引用: 219
Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)论文
Journal of Hydrology2018引用: 252
Most computational hydrology is not reproducible, so is it really science?论文
Water Resources Research2016引用: 245
Sentinel-1-based flood mapping: a fully automated processing chain论文
International Journal of Remote Sensing2016引用: 585
A review of remote sensing based actual evapotranspiration estimation论文
Wiley Interdisciplinary Reviews Water2016引用: 671
Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines论文
Journal of Hydrology2015引用: 331
Soil salinity development in the yellow river delta in relation to groundwater dynamics论文
Land Degradation and Development2011引用: 260
Models for Ecological Data论文
Princeton University Press eBooks2007引用: 278
An improved particle swarm optimization algorithm论文
Applied Mathematics and Computation2007引用: 300
Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model论文
Journal of Irrigation and Drainage Engineering2007引用: 1.9K
Machine learning approaches for estimation of prediction interval for the model output论文
Neural Networks2006引用: 418
Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning论文
Physics and Chemistry of the Earth Parts A/B/C2006引用: 266
Multi-time scale stream flow predictions: The support vector machines approach论文
Journal of Hydrology2005引用: 294
Nonstationary hydrological time series forecasting using nonlinear dynamic methods论文
Journal of Hydrology2004引用: 244
The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning论文
Environmental Modelling & Software2004引用: 255
Input determination for neural network models in water resources applications. Part 1—background and methodology论文
Journal of Hydrology2004引用: 533
Estimation and forecasting of daily suspended sediment data by multi-layer perceptrons论文
Advances in Water Resources2003引用: 265
第 1-20 条,共 32 条
上一页下一页