Abstract:According to the inherent defects of grey model, three kinds of grey model are improved to obtain the unbiased forecast through parameter transformation between the whitenization equation and the grey differential equation. Three case studies are used to compare the application of unbiased grey model and Origin fitting functions on deformation monitoring data processing. The results show that under the condition of a ‘small sample’,the two methods achieve about the same fitting and prediction accuracy. When modeling data is large, the unbiased grey model is not as good as the Origin fitting functions. Considering the application effect and modeling requirements, it is pointed out that the unbiased grey model has a simple modeling principle and can be used to deal with small sample deformation monitoring data. However, from a practical perspective, Origin fitting functions does not need to consider the amount of data and time interval of deformation monitoring. It is recommended to apply Origin fitting in deformation monitoring data processing.
CHEN Pengyu. Comparison and Application of Unbiased Grey Model and Origin Fitting Functions on Deformation Monitoring and Prediction[J]. jgg, 2017, 37(3): 240-245.