摘要
制动性是汽车的主要性能之一，为了探讨神经网络在汽车制动特性研究中的应用，利用神经网络BP算法对汽车制动跑偏特性进行了仿真研究。结果表明，神经网络对汽车制动特性的研究有实用价值。
Braking performance is one of the main performances of automobile. In order to research theapplication of neural network to the study on braking performance, we analogize the automobilebraking deviation characteristic by means of B - P neural network. The results show that neuralnetwork can improve the study of automobile braking performance.
出处
《长沙交通学院学报》
1998年第3期20-23,共4页
Journal of Changsha Communications University
关键词
制动跑偏
仿真
神经网络
BP算法
汽车
braking deviation
simulation analysis
neural network
BP algorithm
