[1]许飞云,贾民平,钟秉林,等.旋转机械工况辨识的模糊神经网络方法[J].东南大学学报(自然科学版),1995,25(5):67-72.[doi:10.3969/j.issn.1001-0505.1995.05.012]
 Xu Feiyun,Jia,Minping,et al.A Study on Fuzzy Neural Network for Operation StateIdentification of Rotating Michine[J].Journal of Southeast University (Natural Science Edition),1995,25(5):67-72.[doi:10.3969/j.issn.1001-0505.1995.05.012]
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旋转机械工况辨识的模糊神经网络方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
25
期数:
1995年第5期
页码:
67-72
栏目:
自动化
出版日期:
1995-09-20

文章信息/Info

Title:
A Study on Fuzzy Neural Network for Operation StateIdentification of Rotating Michine
作者:
许飞云贾民平钟秉林黄仁
东南大学机械工程系
Author(s):
Xu Feiyun;Jia Minping;Zhong Binglin;Huang Ren
Department of Mechanical Engineering, Nanjng 210018
关键词:
模糊系统 神经网络 旋转机械 工况辨识
分类号:
TP277
DOI:
10.3969/j.issn.1001-0505.1995.05.012
摘要:
本文介绍了一种模糊神经网络分类器,针对其在旋转机械工况辨识中的应用,论述了网络的输入和输出模糊化问题。文中就旋转机械中几种典型的故障模式采用模糊神经网络进行了识别,并与传统的BP网络进行了比较。研究结果表明:模糊神经网络方法应用于旋转机械工况识别是有效的,它比传统BP网络更适合于处理分类边界模糊的数据。

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备注/Memo

备注/Memo:
国家自然科学基金
更新日期/Last Update: 2013-04-16