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灰色系统预测模型的本质是对已知数据序列进行类型为指数形式的曲线拟合,然后将曲线延伸到未来,由此对未知的数据做出预测。介绍所建立的青藏铁路路基沉降变形的灰色预测GM(1,l)模型,试验应用表明,该模型具有较高的预测精度。
The essence of the gray system prediction model is to predict the unknown data by curve fitting the known data series into an exponential curve and extending the curve to the future. The gray prediction GM (1, l) model of the subsidence deformation of the Qinghai-Tibet Railway is introduced. The experimental results show that this model has high prediction accuracy.