MODELING AND PREDICTION OF VEHICLE TUBE HYDRAULIC SHOCK ABSORBERS BASED ON BP NEURAL NETWORK

摘要：

Research on modeling the tube hydraulic shock absorbers is always a challenging issue. This paper presents a modeling method through BP (Back-Propagation) neural network established by training data from experiments. Characteristic parameters of the absorbers are as the inputs of the BP network model, while damping forces as outputs. Numerical simulations are given as examples, which demonstrate that the method is effective to predict the performance of the absorber successfully.

关键词： Shock absorber BP neural network model predict

作者: DONG PAN SHUANG-XIA PAN WEI-RUI WANG

作者单位: Institute of Mechanical Design, Zhejiang University, Hangzhou 310027, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2935-2939

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）