Research on Data Prediction Method Based on Improved Grey Model

Abstract

Prediction methods reveal the interaction of predicted indents to a certain extent, and there are many corresponding methods to different models. In order to analyze the internal computing network of things and improve the accuracy of prediction, a hybrid data-GM prediction model is established in this paper. The results show that the relative error of the predicted value is reduced to less than 10% by the hybrid method compared with the traditional model.