Abstract: In this paper, on the basis of modern error-correction technology, the grey model based on the grey system theory is studied as a short-term predicting model of dynamic measurement errors in order to perform error-correction and improve the accuracy of dynamic measurement. Here, the identification and correction of the parameters of the model are analyzed. Taking the example of long gating measuring system and discussing its dynamic measuring errors, a method is developed for-correcting the model's identification parameters which affect the measurement results during predicting. Therefore, the measurement accuracy is improved.

Key words: modern error-correction technology, error prediction grey model, correction of model identification parameters, compound model