摘要
引入神经网络技术对车辆制动系统进行计算机仿真研究，在原有车辆制动系统计算机仿真的基础上，通过ＢＰ网络对仿真结果的学习，把数学模型转化为神经网络模型，再进一步通过对整车试验结果的学习，最终达到修正模型，提高仿真精度的目的。
With the help of the artificial neural networks the paper researches the simulation of the vehicle brake system. Based on the conventional computer simulation and learning of the BP neural networks, the mathematical model is turned into a neural networks model. The model is finally revised and simulation accuracy can be improved.
出处
《机械设计与制造工程》
1999年第6期13-15,共3页
Machine Design and Manufacturing Engineering
