文件名称:Partial-discharge-signals-of
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
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
提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。
-Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active study of classification of SVM classifier, sample selection based on the calculation of posterior probability function of discharge samples to choose, pick out the most valuable training samples for classifier
-Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active study of classification of SVM classifier, sample selection based on the calculation of posterior probability function of discharge samples to choose, pick out the most valuable training samples for classifier
(系统自动生成,下载前可以参看下载内容)
下载文件列表
电力变压器局部放电信号的特征提取与模式识别方法研究_尚海昆.caj