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基于试验数据的城轨车辆二系悬挂系统神经网络辨识研究
引用本文:王耀文,张济民,程祖国.基于试验数据的城轨车辆二系悬挂系统神经网络辨识研究[J].铁道车辆,2006,44(2):5-8.
作者姓名:王耀文  张济民  程祖国
作者单位:同济大学,铁道与城市轨道交通研究院,上海,200331
摘    要:针对城市轨道车辆二系悬挂系统的输入-输出动态关系,根据实测数据应用神经网络对城市轨道车辆二系悬挂系统进行辨识,建立了二系悬挂动态系统神经网络模型。仿真结果表明:所采用的辨识网络能够对城市轨道车辆二系悬挂系统的动态关系进行有效的辨识,可以建立一个分析二系悬挂系统特性的神经网络模型。

关 键 词:城轨车辆  悬挂  神经网络  系统辨识
文章编号:1002-7602(2006)02-0005-04
收稿时间:2005-05-08
修稿时间:2005-10-11

Research on the Nerve Network Identification of the Secondary Suspension System on Urban Rail Vehicles Based on the Test Data
WANG Yao-wen,ZHANG ji-min,CHENG Zu-guo.Research on the Nerve Network Identification of the Secondary Suspension System on Urban Rail Vehicles Based on the Test Data[J].Rolling Stock,2006,44(2):5-8.
Authors:WANG Yao-wen  ZHANG ji-min  CHENG Zu-guo
Abstract:In view of the input-output dynamic relation of the secondary suspension system of the urban rail vehicles,identification is made for the secondary suspension system of the urban rail vehicles with the application of nerve network,the nerve network model of the secondary suspension dynamic system is set up.The simulation results show that the identification network applied can make effective identification on the dynamic relation of secondary suspension system of urban rail vehicle,and a nerve network model to analyze the features of the secondary suspension system can be set up.
Keywords:urban vehicle  suspension  nerve network  system identification
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