自動車工学の進歩
オープンアクセス

概要

Application of Grey Neural Network in Vehicle Vibration Prediction

Zhendong Zhao and Rongdong Yin

Considering the theoretical characteristics of grey system method and neural network, a grey neural network prediction method was proposed by combining the grey prediction model and the neural network in order to improve the accuracy of vehicle vibration prediction. On the purpose of verifying the proposed model, the vibration data of several measuring points under different traveling speed of a pick-up truck were both tested in an experimental way and predicted in a theoretical way. The results show that it is feasible to apply the proposed grey neural network prediction method to calculate the vehicle vibration data, which improves the prediction accuracy effectively.