| 基于粗集-神经网络的智能混合压缩机故障诊断系统的研究 |
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| 引用本文： | 范兴铎,盛颂恩.基于粗集-神经网络的智能混合压缩机故障诊断系统的研究[J].压缩机技术,2007(2):1-3,9. |
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| 作者姓名： | 范兴铎 盛颂恩 |
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| 作者单位： | 浙江林学院,工程学院,浙江,临安,311300 |
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| 摘 要： | 利用粗集的约简功能消除压缩机故障样本数据中冗余信息，将粗集与神经网络相结合，构建了一个基于粗集一神经网络的智能混合压缩机故障诊断系统，实现了粗集对神经网络在压缩机故障诊断中的优化。
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| 关 键 词： | 神经网络 智能混合系统 粗集 约简 |
| 文章编号： | 1006-2971（2007）02-0001-04 |
| 修稿时间： | 2006-12-14 |
Intelligent Hybrid System Based on Rough Sets and Neural Networks for Fault Diagnosis |
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| FAN xing-duo,SHENG Song-en.Intelligent Hybrid System Based on Rough Sets and Neural Networks for Fault Diagnosis[J].Compressor Technology,2007(2):1-3,9. |
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| Authors: | FAN xing-duo SHENG Song-en |
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| Abstract: | Based on the reduction of rough sets,it eliminates the redundant information of compressor's fault sample data.By combined with the rough sets and neural networks,it creates an intelligent hybrid system based on rough sets and neural networks for fault diagnosis,and also optimizes the neural networks for compressor fault diagnosis. |
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| Keywords: | neutral network intelligence hybrid systems rough sets reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
