| 自组织特征映射网络在故障诊断中的应用 |
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| 引用本文： | 李鹏,陈忠一. 自组织特征映射网络在故障诊断中的应用[J]. 微型机与应用, 2011, 30(2) |
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| 作者姓名： | 李鹏 陈忠一 |
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| 作者单位： | 1. 91550部队92分队,辽宁大连,116023
2. 大连海事大学轮机学院,辽宁大连,116023 |
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| 摘 要： | 运用自组织特征映射神经网络的工作原理和具体实现算法进行故障诊断分析,在对已有神经网络聚类分析方法概括和总结的基础上,结合实验数据、仿真数据对自组织特征映射算法故障模型诊断进行研究,得出了有意义的结论.
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| 关 键 词： | 数据挖掘 神经网络聚类 自组织特征映射 特征提取 |
Fault diagnosis based on self-organizing feature map |
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| Li peng,Chen Zhongyi. Fault diagnosis based on self-organizing feature map[J]. Microcomputer & its Applications, 2011, 30(2) |
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| Authors: | Li peng Chen Zhongyi |
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| Affiliation: | Li peng1,Chen Zhongyi2 (1.PLA91550 92 Unit,Dalian 116023,China,2.Marine Institute of Dalian Maritime University,China) |
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| Abstract: | In this paper,the theory and algorithm of SOFM are considered. And on the basis of analysis and summary of current neural network clustering,researches in algorithms of self-organized mapping with some experimental data of simulation,at last gets several meaningful conclusions. |
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| Keywords: | data mining neural network clustering self-organized feature map feature extraction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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