文件名称:M_FILE
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-04-04
- 文件大小：
- 4kb
- 下载次数：
- 1次
- 提 供 者：
- applep*******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
In this paper, the expert system is introduced in
order to detect and classify commonly power quality
disturbances. This system is using learning vector quantization
artificial neural networks. Clustering method named fuzzy
c-mean is also utilized to initialize weight vector of first hidden
layer. It can mitigate the disadvantage of LVQ ANN. The
proposed system employs wavelet decomposition coefficients for
extracting of deviated signals features. The determined feature
vector is derived from Standard Deviation of 10-level
decomposition detail coefficients. For the purpose of having
efficient network, just 3 characteristic points among 10 points
have been used, that leads to make networks training much
order to detect and classify commonly power quality
disturbances. This system is using learning vector quantization
artificial neural networks. Clustering method named fuzzy
c-mean is also utilized to initialize weight vector of first hidden
layer. It can mitigate the disadvantage of LVQ ANN. The
proposed system employs wavelet decomposition coefficients for
extracting of deviated signals features. The determined feature
vector is derived from Standard Deviation of 10-level
decomposition detail coefficients. For the purpose of having
efficient network, just 3 characteristic points among 10 points
have been used, that leads to make networks training much
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下载文件列表
M_FILE\dcoffset.m
......\flicker.m
......\harmonic.m
......\impulsive.m
......\interruption.m
......\main3.m
......\noise.m
......\sag.m
......\swell.m
......\ten_level_std_detail.m
M_FILE