基于神经网络故障诊断平台的接口模块开发  

Development of Interface Module of Fault Diagnosis Platform Based on Neural Network

作　　者：朱湘琳[1] 蔡金燕[1] 何强[1] 朱雷[1] 

机构地区：[1]石家庄军械工程学院

出　　处：《微计算机信息》2005年第1期105-106,共2页Control & Automation

基　　金：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。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.

关 键 词：神经网络 模式分类 接口模块 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]