﻿ 改进无偏灰色模型在沉降观测中的应用

改进无偏灰色模型在沉降观测中的应用Improvement of Unbiased Grey-Forecasting Model and Its Application on Subsidence Prediction

Abstract: The unbiased grey-forecasting model is an unbiased exponential model and it can eliminate inhe-rent deviation of the traditional grey-prediction model. After negative exponential function trans-forming, the smoothness of the original data and the prediction accuracy are both improved. It is the unbiased grey-forecasting model based on exponential transform that combines the unbiased grey-forecasting model and negative exponential transformation. The data is transformed, pre-dicted and restored. The subsidence monitoring data is processed by the grey-prediction model, the unbiased grey-prediction model and the model in this paper. The results show that the model in this paper eliminates the inherent deviation of the traditional model and achieves good results in the subsidence prediction.

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