An optimized grey model with quadratic time-varying parameters based on background value optimization

摘要

In this paper, an optimized grey forecasting model with quadratic time-varying parameters is put forward, in which the formula to improve the background value of the traditional grey NGM(1,1,k^{2) model is deduced and a new kind of adaptive parameter optimized by PSO is introduced. Experimental results have shown the practicality and effectiveness of the presented optimization model.}