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

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

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