Random and volatile data of road traffic accidents show poor fitness and low accuracy if forecast by means of the traditional grey model GM (1, 1).
采用传统灰色GM(1,1)模型预测道路交通事故这类随机性、波动性较大的数据，存在拟合较差、精度不足等问题。
A model based research method is adopted to forecast the temperature and improve the accuracy of fault diagnosis for satellite heat control subsystem. A mathematical model is established.
为预测卫星热控系统温度、提高该系统故障诊断准确率，采用了基于模型的研究方法，建立了热控系统数学模型。
The power load forecast accuracy is higher when GM (1, 1) model is applied for the exponential increasing load, while it is not acceptable when the load is influenced by different factors.
灰色预测系统GM(1,1)模型用于负荷按指数增长态势变化时，预测精度较高，但当影响负荷的因素较多、模型灰度较大时，精确度就不够理想。
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