A multi-variable grey model with a self-memory component and its application on engineering prediction
The self-memory principle is introduced into the grey MGM(1,m) prediction model. We can uniformly describe the interactional relationship of multi-variable systems. The coupling prediction model can take full advantage of its multi-time historical data. Traditional grey model?s weakness of being sensitive to initial value can be overcome. The results of engineering example demonstrate its remarkable prediction performance.
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