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In this paper, we define two new unbiased GM (1, 1) models for the selection of initial conditions: starting-point fixed unbiased GM (1,1) (SUGM (1,1))and ending-point fixed unbiased GM (1, 1) (EUGM (1,1)), which are based on the unbiased GM (1, 1) regarding the 1-th and the n-th vector as the initial condition. Then it gave initial condition an amendment item respectively and carried out an optimization...
This paper expounds three kinds of grey neural network combined model for short-term prediction of urban traffic speed, and confirms their validity and feasibility by conducting experiment in Beijing road of Jingzhou. Three kinds of networks are parallel grey neural network, series grey neural network, and inlaid grey neural network. The experiment proves that the three kinds of modes are feasible...
This paper studies the two aspects that affect the prediction accuracy of GM(1,1) model: the smoothness of initial sequence and the background value of grey equation. An optimum method is proposed that adopts trigonometric function to enhance the smoothness and utilize trapezium method, interpolation formula to construct the background value, an example about life prediction of electronic equipment...
In this paper, the method of trigonometric-power function transformation against modeling standardized data is put forward. It has been proved that the smooth degree of data sequence can be improved. This function transformation can greatly improve the smooth degree more than logarithmic function transformation and power function transformation. So the method can widen the range of application of...
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