Improvement And Application Of GM(1, 1) Model And MATLAB Realization

Grey forecasting model is an important part of grey system theory, also is a widely used Prediction method in the Prediction theorey and application. Therefore, research on grey forecasting model is of great significance.In this paper, some function transformation can improve the smooth degree of modeling data series this perspective, based on gray system modeling theory and the theory of evolutionary algorithms, function transformation based on the improved gray prediction model were studied. According to modeling the impact of data smoothness sequence gray prediction accuracy of the model this characteristic, this paper presents several modeling data series to improve smoothness function transformation method, and then theoretically proved the reliability of these types of transformation method, the final From the numerical calculation results validate the cases of these types of transformation methods in improving the effect of improving the gray prediction model fitting and forecasting precision effectiveness.