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Soft computing approaches for forecasting reference evapotranspiration., , , , , , and . Comput. Electron. Agric., (2015)A Support Vector Machine-Firefly Algorithm based forecasting model to determine malaria transmission., , , , , , , and . Neurocomputing, (2014)Extreme learning machine approach for sensorless wind speed estimation, , , , , and . Mechatronics, (2015)Groundwater level forecasting using soft computing techniques., and . Neural Comput. Appl., 32 (12): 7691-7708 (2020)A hybrid SVM-PSO model for forecasting monthly streamflow., , , and . Neural Comput. Appl., 24 (6): 1381-1389 (2014)An integrated wavelet-support vector machine for groundwater level prediction in Visakhapatnam, India., , , and . Neurocomputing, (2014)A new hybrid support vector machine-wavelet transform approach for estimation of horizontal global solar radiation, , , , , and . Energy Conversion and Management, (2015)cited By 52.Streamflow forecasting by SVM with quantum behaved particle swarm optimization., , , and . Neurocomputing, (2013)A hybrid SVM-FFA method for prediction of monthly mean global solar radiation, , , , , and . Theoretical and Applied Climatology, (2015)Hybrid algorithm performance with varying population size for multi-objective optimisation of in-situ bioremediation of groundwater., , , and . Int. J. Bio Inspired Comput., 5 (3): 164-174 (2013)