Title : ( A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasting in Linear and Nonlinear Conditions )
Authors: Fereshteh Modaresi , shahab araghinejad , Kumars Ebrahimi ,
Abstract
Monthly forecasting of streamflow is of particular importance in water resources management especially in the provision of rule curves for dams. In this paper, the performance of four data-driven models with different structures including Artificial Neural Network (ANN), Generalized Regression Neural Network (GRNN), Least Square-Support Vector Regression (LS-SVR), and K-Nearest Neighbor Regression (KNN) are evaluated in order to forecast monthly inflow to Karkheh dam, Iran, in linear and non-linear conditions while the optimized values of the model parameters are determined in the same condition via the Leave-One-Out Cross Validation (LOOCV) method. Results show that the performance of the models is different in linear and nonlinear conditions; the cumulative ranking of the models according to the three assessment criteria including NSE, RMSE and R2 indicates that ANN performs best in linear conditions while LS-SVR, GRNN and KNN are in the next ranks, respectively. But in nonlinear conditions, the best performance belongs to LS-SVR, followed by KNN, ANN, and GRNN models.
Keywords
, Comparative assessment, Cumulative ranking, Karkheh, Leave-One-Out Cross Validation (LOOCV), Linear and Nonlinear conditions@article{paperid:1080500,
author = {Modaresi, Fereshteh and شهاب عراقی نژاد and کیومرث ابراهیمی},
title = {A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasting in Linear and Nonlinear Conditions},
journal = {Water Resources Management},
year = {2018},
volume = {32},
number = {1},
month = {January},
issn = {0920-4741},
pages = {243--258},
numpages = {15},
keywords = {Comparative assessment; Cumulative ranking; Karkheh; Leave-One-Out Cross Validation (LOOCV); Linear and Nonlinear conditions},
}
%0 Journal Article
%T A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasting in Linear and Nonlinear Conditions
%A Modaresi, Fereshteh
%A شهاب عراقی نژاد
%A کیومرث ابراهیمی
%J Water Resources Management
%@ 0920-4741
%D 2018