首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于证据理论和模糊神经网络的汽车换挡平顺性评价方法
引用本文:陈刚,张为公,龚宗洋,薛金林.基于证据理论和模糊神经网络的汽车换挡平顺性评价方法[J].汽车工程,2009,31(4).
作者姓名:陈刚  张为公  龚宗洋  薛金林
作者单位:1. 东南大学仪器科学与工程学院,南京,210096
2. 东南大学仪器科学与工程学院,南京210096;南京农业大学工学院,南京,210031
基金项目:江苏省汽车工程重点实验室开放基金,江苏省交通科学研究计划项目 
摘    要:针对目前汽车换挡平顺性评价方法的不足,提出了一个基于证据理论和模糊神经网络的汽车换挡平顺性评价方法.运用证据理论对不同驾驶员给出的主观评价进行数据融合;通过模糊神经网络对由仪器测得的客观评价指标和经证据合成后的相应主观评价构成的样本向量进行学习和训练,建立了汽车换挡平顺性评价系统.计算和试验结果表明,该方法克服了主观评价和客观评价各自的缺点,能客观、准确、有效地评价汽车换挡平顺性.

关 键 词:换挡平顺性  评价  证据理论  模糊神经网络

Evaluation Method for Vehicle Shift-feel Based on Evidence Theory and ANFIS
Chen Gang,Zhang Weigong,Gong Zongyang,Xue Jinlin.Evaluation Method for Vehicle Shift-feel Based on Evidence Theory and ANFIS[J].Automotive Engineering,2009,31(4).
Authors:Chen Gang  Zhang Weigong  Gong Zongyang  Xue Jinlin
Institution:Chen Gang1,Zhang Weigong1,Gong Zongyang1 & Xue Jinlin1,21.School of Instrument Science , Engineering,Southeast University,Nanjing 210096,2.College of Engineering,Nanjing Agricultural University,Nanjing 210031
Abstract:In view of the shortcomings of existing methods for vehicle shift-feel evaluation,a new scheme for shift-feel evaluation based on evidence theory and adaptive neural fuzzy inference system(ANFIS) is proposed.Firstly data fusion or evidence synthesis is conducted on subjective ratings of various drivers by applying evidence theory;then the sample vectors composed of the objective evaluation indicators measured by instruments and the corresponding subjective evaluation results after evidence synthesis are tra...
Keywords:shift-feel  evaluation  evidence theory  ANFIS  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号