Security Event Classification Method for Fiber-optic Perimeter Security System Based on Optimized Incremental Support Vector Machine

摘要：

　　The way of efficiently classifying the fence climbing,fabric cutting,wall breaking and other environment factors,is an imperative problem for fiber-optic perimeter security system.To solve this problem,a security threats classification method based on optimized incremental support vector machine is proposed.In this method the artificial bee colony algorithm is introduced to optimize the penalty factor and kernel parameter of incremental support vector machine under specified fitness function,and the optimized incremental support vector machine is used to classify the perimeter security threats.To testify the performance of the proposed method,the experiment based on UCI datasets and actual vibration signal are made.Comparing with the support vector machine optimized by other algorithms,higher classification accuracy and less time consumption is achieved by the proposed method.Therefore,the effectiveness and the engineering application value of this proposed method is testified.

关键词： Perimeter Security Incremental Support Vector Machine Artificial Bee Colony Algorithm Parameter Optimization Wavelet Transform

作者: Lu Liu Wei Sun Yan Zhou Yuan Li Jun Zheng Botao Ren

作者单位: PetroChina Pipeline R & D Center,Langfang,Hebei,China PetroChina Pipeline Company,Langfang,Hebei,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 595-603

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）