摘要
应用MATLAB软件设计了基于模糊神经网络的汽车换挡品质评价系统。对换挡过程中由仪器测得的客观评价指标和由驾驶员给出的相应主观评价构成的样本向量进行学习和训练,建立了客观评价指标和主观感觉之间的联系。试验结果表明,该系统误差精度为0.060012,即系统评价结果与主观评价结果基本一致,能够客观有效地评价换挡品质。
Based on fuzzy neural network,an evaluation system for automobile shift quality was developed by using software MATLAB.The objective evaluation index measured by instrument and the subjective evaluation index from different drivers during the process of shift were studied and trained,and the relationship between the objective and subjective evaluation index was buih.Tbe experimental results show that the results of system evaluation have a good consistency with the results of subjective evaluation,whose error accuracy is 0.060 012.Consequently,the established method can achieve the evaluation for shift quality effectively and objectively.
出处
《汽车技术》
北大核心
2008年第7期22-24,共3页
Automobile Technology
基金
江苏省汽车工程重点实验室开放基金项目(QC200603)
江苏省交通科学研究计划资助项目(06C04)
关键词
汽车
换挡
品质
评价系统
模糊神经网络
Automobile,Shift,Quality,Evaluation system,Fuzzy Neural Network
