首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络故障诊断平台的接口模块开发
引用本文:朱湘琳,蔡金燕,何强,朱雷. 基于神经网络故障诊断平台的接口模块开发[J]. 微计算机信息, 2005, 21(1): 105-106
作者姓名:朱湘琳  蔡金燕  何强  朱雷
作者单位:050003,河北石家庄军械工程学院雷达教研室
基金项目:国家自然科学基金资助项目(9971026)
摘    要:该文介绍了基于自组织神经网络的针对某型雷达的故障诊断平台接口模块的实现过程。利用Delphi实现分类样本的录入工作及平台的图形用户界面功能,将复杂的网络计算与分类过程交给Matlab完成,并对某样本进行较为简单的聚类分析。试验表明接口模块能大大简化整体平台复杂的算法设计,分类性能与速度也较令人满意。

关 键 词:神经网络 模式分类 接口模块
文章编号:1008-0570(2005)01-0105-02
修稿时间:2004-07-21

Development of Interface Module of Fault Diagnosis Platform Based on Neural Network
Zhu,Xianglin Cai,Jinyan He,Qiang Zhu,Lei. Development of Interface Module of Fault Diagnosis Platform Based on Neural Network[J]. Control & Automation, 2005, 21(1): 105-106
Authors:Zhu  Xianglin Cai  Jinyan He  Qiang Zhu  Lei
Abstract:The paper introduces the realization of interface module of the fault diagnosis platform based on ART neural network. It carries out recording all the sample and designing the graphic interface of platform by Delphi, and deliver complex network calculation and classification to Matlab to complete, and realizes relatively simple cluster analysis for certain sample. Experiment shows that interface module can simplify the overall platform complex algorithm design, and classification ability and speed also prove satisfactory comparatively.
Keywords:Neural Network  Pattern Classification  Interface Module  
本文献已被 CNKI 维普 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