Application of Grey LS-SVM to the Forecast of Irrigation Water

According to the advantages of grey model(GM) such as less original data to be required,model to be simplely established and convenient to calculate and the features of least square support vector machine(LS-SVM) such as strong generalization ability,fast calculation speed,high nonlinear fitting precision,good parameters optimization ability and less samples,a combination forecasting model in which the GM is intelligently combined with the LS-SVM algorithm was proposed,and this model was applied to forecast the volume of the irrigation water.The forecasted results are in good agreement with the actual results,witch verifies that the proposed combination forecasting method is effective and practicable and can be used as an effective tool to forecast the volume of irrigation water.