火力与指挥控制Issue(2)：158-161,165,5.
小生境粒子群支持向量机的网络故障诊断
Network Fault Diagnosis Based on Niche Particle Swarm Optimization SVM
摘要
Abstract
The parameters setting and diagnosis model complexity caused by dataset’s huge size affect the SVM’s application in network fault diagnosis. A new method based on niche particle swarm optimization SVM is proposed to solve these problems. The algorithm optimizes SVM training parameters,and the support vectors number is proposed to simplify the diagnosis model complexity as well. The niche particle swarm optimization method was introduced to this optimization problem while it’s excellent ability of escape locally optimal solution. The experiments on DARPA dataset shows that the method can improve the diagnosis model’s generalization and can get faster diagnosis speed.关键词
网络故障诊断/支持向量机/小生境粒子群/支持向量数目Key words
network fault diagnosis/SVM/niche particle swarm optimization/support vector number分类
信息技术与安全科学引用本文复制引用
张亚梅,张正本..小生境粒子群支持向量机的网络故障诊断[J].火力与指挥控制,2016,(2):158-161,165,5.基金项目
河南省教育厅自然科学研究计划基金资助项目 （）
