New Grey Modeling Method of GM(1,N) Based on Self-adaptive Data Fusion

摘要

A new grey modeling method, i.e. GM(1,N), based on the research of grey theory and self-adaptive data fusion is proposed. By using adaptive data fusion and accumulated generating operation to smooth the original data sequence, the random characteristic of some non-stationary time series can be reduced, and the background value reconstructed is by far more precise. Moreover, the new GM(1,N) model's fitting precision and prediction precision is improved. The experiments on modeling the zero drift of liquid floated gyro signal show that this new method enhances the precision and is valuable in practice to model the zero drift of liquid floated gyro.