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ART3神经网络的研究分析及应用
引用本文:潘紫微,徐金梧.ART3神经网络的研究分析及应用[J].安徽工业大学学报,1996(2).
作者姓名:潘紫微  徐金梧
作者单位:华东冶金学院,北京科技大学
摘    要:在ART3神经网络模型的研究基础上,分析比较了ART3的分布式和压缩式识别码的模式识别情况,并且与ART2神经网络模式识别情况进行了比较,并将其应用在轴承故障诊断中.研究分析表明:ART3不仅继承了ART1和ART2神经网络的功能,而且还具备了相当强的功能和可扩展的潜力.

关 键 词:神经网络,自适应谐振理论,模式识别,故障诊断

Study and Analysis on ART3 Neural Networks and its Applications
Pan Ziwei,Xu Jinwu.Study and Analysis on ART3 Neural Networks and its Applications[J].Journal of Anhui University of Technology,1996(2).
Authors:Pan Ziwei  Xu Jinwu
Affiliation:Pan Ziwei;Xu Jinwu(ECIM)(Beijing University of Science&Technology)
Abstract:This paper analysis pattem identification problems of distributed recognition codes and compressive recognition codes of ART3 on the basis of ART3 neural networks modle,and compares pattem identification of ART3 with that of ART2.It is put into application on bearing diagnosis.The results of study and analysis indicate that ART3 can not only keep the functions of ART1 and ART2 neural networks but have extensible potentialities.
Keywords:s:Neural Networks  Adaptive Resonance Theory :Pattem Rcognition: Failure Diagnosis  
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