Application of Grey-Equal Dimension and New Information Neural Network Model to Deformation Prediction

Abstract

According to the deformation trend of the plasmodium, the paper utilizes the concept of equal dimension and new information in grey theory to train BP network, sets up equal-dimension and new information model that can fully reflect the law of deformation, and carries on real deformation prediction with this model. Meanwhile, the text utilizes GM (1,1) model of grey theory to predict the plasmodium. By comparing the prediction of the two methods, it draws the conclusion: the equal dimension and new information model is suitable for long data prediction of array and the precision of GM(1,1) model is relatively high.