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KM-SVM法的舰船噪声变化检测 预览

The noise change detection of ship based on KM-SVM algorithm
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摘要 设计基于KM-SVM算法的舰船噪声变化检测的实现流程,并对其中所包含的3个步骤进行详细阐述:1)构造变化类和无变化类的差异图;2)利用K-均值聚类得到伪训练集和无标签集;3)利用半监督支持向量机(SVM)进行分类检测。最后进行实验对比以此来说明算法的有效性。 In this paper,the realization process of ship noise change detection based on KM-SVM algorithm was designed. And the 3 steps included were described in detail: 1) structure difference graph between change class and no change class; 2) using K-means clustering to get the pseudo training set and non label set; 3) using semi supervised support vector machine( SVM) to classify and detect. Finally,experiments were carried out to illustrate the effectiveness of the algorithm.
作者 伍岳 WU Yue;Guizhou Vocational Technology Institute;
出处 《舰船科学技术》 北大核心 2016年第11X期13-15,共3页 Ship Science and Technology
关键词 KM-SVM算法 噪声变化检测 分类超平面 KM-SVM algorithm noise change detection classified hyper plane
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