【作者】 邹红波； 吉培荣；

【Author】 Zou Hongbo Ji Peirong (Collage of Electrical Engineering and Information Science, China Three Gorges University, Yichang City 443002)

【机构】 三峡大学 电气信息学院；

【摘要】 传统GM(1,1)模型是最基本的灰色预测模型,无偏GM(1,1)模型是在传统GM(1,1)模型基础上的一种改进,它消除了传统GM(1,1)模型本身所固有的偏差。本文对无偏GM(1,1)模型的混沌特性进行分析,并与传统GM(1,1)模型进行了对比,明确了无偏GM(1,1)模型特性和适用条件。更多还原

【Abstract】 Traditional GM (1,1) model is the base of grey forecasting model. Unbiased GM (1,1) model is an improved model based on traditional GM (1,1) model and it eliminates the inherent deviation of traditional GM (1,1) model. In this paper, analysis of chaotic feature of Unbiased GM (1,1) Model is given and the comparison between unbiased GM (1,1) model and traditional GM (1,1) model is given. These theory base to research its model characteristics and suitable object of prophesy.更多还原