自動車工学の進歩
オープンアクセス

概要

車両振動予測におけるグレーニューラルネットワークの応用

Zhendong Zhao and Rongdong Yin

Considering the theoretical characteristics of gray system method and neural network, a gray neural network prediction method was proposed by combining the gray 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 gray neural network prediction method to calculate the vehicle vibration data, which improves the prediction accuracy effectively.