Prediction of Longitudinal Resonance Elastic Modulus of Wood-plastic Composites Based on GM (1, N) Neural Network

Abstract

Abstract Based on the grey neural network combined prediction model, the prediction model of the mechanical properties of WPC composites was established by taking the orthogonal design test results of the main processing factors of WPC composites as data samples. Taking the main processing factors of WPC as input, grey GM (1, N) prediction of these variables was carried out, and then BP neural network prediction was carried out to predict the mechanical process index of WPC. The results show that the established prediction model can predict the mechanical properties and technological indexes of WPC composites well.