A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration

Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran)

“…The Support Vector Regression (SVR) algorithm performs regression analysis and classification tasks using a subset of the support vector machine (SVM) technique [ 60 ]. It works well with data that can be partitioned linearly, but it uses a nonlinear mapping technique to transform data that cannot be partitioned linearly into a higher-dimensional feature space.…”

Eco-hydrological modeling of soil wetting pattern dimensions under drip irrigation systems

“…The performance indicators used were: the mean absolute error (MAE), the root mean square error (RMSE), the Nash- Sutcliffe model efficiency (EF), and R2. The following relationships were used to calculate the various statistical indicators as listed below [ 80 , 81 ]:…”

Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test

“…Also, these models are flexible enough to predict hydrological problems with high efficiency [ [31] , [32] , [33] ]. Machine learning and artificial intelligence models have become very popular in recent decade [ [34] , [35] , [36] , [37] , [38] ]. Forecasting of the stream discharge various models such as multiple-linear regression (MLR) [ 2 , [39] , [40] , [41] , [42] ], rating curve [ [43] , [44] , [45] , [46] , [47] ], wavelet-based MLR (WMLR) [ 48 , 49 ], support vector machine (SVM) [ 39 , 44 , [50] , [51] , [52] , [53] ], artificial neural network (ANN) [ 45 , [53] , [54] , [55] , [56] , [57] ], wavelet-based artificial neural network (WANN) [ 2 , 39 , 58 ], adaptive neuro-fuzzy inference system (ANFIS) [ [59] , [60] , [61] ], wavelet-based support vector machine (WSVM) [ 39 , 62 ], wavelet–bootstrap–ANN (WBANN) [ 48 , 63 ], M5-model trees [ 46 , 64 ], random forest (RF) [ 65 ], ARIMA [ 65 , 66 ], gene expression programming (GEP) [ 32 , 67 , 68 ], genetic algorithm (GA) [ 3 , 33 , 69 ], genetic programming (GP) [ 32 ], Bagged M5P [ 65 ], integrating long-short-term memory (LSTM) [ 69 , 70 ], wavelet–bootstrap–multiple linear regression (WBMLR) [ 48 ], Fuzzy logic and f...…”