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

基于神经网络的发动机模型辨识
引用本文:雷云进,张报山,李波勇.基于神经网络的发动机模型辨识[J].吉首大学学报(自然科学版),2007,28(3):73-75.
作者姓名:雷云进  张报山  李波勇
作者单位:(郴州职业技术学院,湖南 郴州 423000)
基金项目:国家高技术研究发展计划(863计划)
摘    要:为进一步研究发动机的稳态、空载、动态转矩、燃油消耗模型和万有特性,笔者提出了一种基于神经网络的神经元结构模型和多层前馈网络结构模型并分别进行了数学分析.实践研究表明:在发动机的工作过程中,动态工况占66%~80%,并发现发动机的动力性和经济性指标与稳态工况存在着一定的差异.

关 键 词:神经网络  发动机  模型辨识  BP网  
文章编号:1007-2985(2007)03-0073-03
收稿时间:2007-02-27
修稿时间:2007-02-27

Study on Model Recognition of Engine on Neural Network
LEI Yun-jin,ZHANG Bao-shan,LI Bo-yong.Study on Model Recognition of Engine on Neural Network[J].Journal of Jishou University(Natural Science Edition),2007,28(3):73-75.
Authors:LEI Yun-jin  ZHANG Bao-shan  LI Bo-yong
Institution: (Chenzhou Professional and Technical College,Chenzhou 423000,Hunan China)
Abstract:In order to give a further research on steady state and empty carrying dynamic state torque and fuel consuming model and universal characteristics of engine, this text tries to carry on mathematical analysis respectively on a structure of neural model and many layer forward feedback network structure models through neural network and make some quests towards model recognition of engine. Practice clarifies that in engine working process, the dynamic state work condition has occupied 66% - 80%, dynamical and economic capability signs of engine have certain difference between the steady state work condition and the dynamic state work condition.
Keywords:neural network  engine  model recognition  back propagation neural Network
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《吉首大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《吉首大学学报(自然科学版)》下载免费的PDF全文
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