A Network System Fault Detection Based on Quasi Newton-Bat Agorithm

ZHANG Yi-liang; LUO Xiao-juan

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A Network System Fault Detection Based on Quasi Newton-Bat Agorithm

更新时间：2026-09-04

- A Network System Fault Detection Based on Quasi Newton-Bat Agorithm
- Vol. 34, Issue 1, Pages: 128-131(2017)
- 作者机构：
  
  萍乡学院机构计算机系,江西,萍乡,337055
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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张义良, 罗晓娟. 一种基于拟牛顿法蝙蝠算法的网络故障检测方法[J]. 微电子学与计算机, 2017, 34(1): 128-131.

ZHANG Yi-liang, LUO Xiao-juan. A Network System Fault Detection Based on Quasi Newton-Bat Agorithm[J]. 2017, 34(1): 128-131.
张义良, 罗晓娟. 一种基于拟牛顿法蝙蝠算法的网络故障检测方法[J]. 微电子学与计算机, 2017, 34(1): 128-131. DOI：

ZHANG Yi-liang, LUO Xiao-juan. A Network System Fault Detection Based on Quasi Newton-Bat Agorithm[J]. 2017, 34(1): 128-131. DOI：

摘要

针对现有的网络系统故障检测方式存在的检测精度不高、检测收敛速度慢和易陷入局部最优问题

综合了蝙蝠算法和拟牛顿法

提出了一种基于差分进化蝙蝠算法的网络系统故障检测方法(Quasi Newton-Bat Algorithm

QN-BA).该方式通过搭建滤波模型和残差模型

结合拟牛顿法蝙蝠算法得到模型的最优解

有效地规避了现有方式存在的问题.最后通过仿真实验深入研究了影响该故障检测方法的主要因素

并对比分析了该方法与NPSO-PF(新型粒子群优化滤波算法)和LWRLR(变学习率变加权递推最小二乘算法)的性能

验证了其有效性.

Abstract

In order to effectively solve the problems consisted in the method of existing network system fault detection

the problems includes that detection accuracy is not high

the detection convergence speed is slow

and its easy to fall into local optimum.In this paper combined with the Bat Algorithm(BA)and Quasi Newton(QN)strategy

a novel model of network system fault detection based on QN-BA is proposed.In this way

the optimal solution of the model is obtained by combining the filtering model and the residual error model

which can effectively avoid the existing problems.Finally through the simulation experiment obtained the fault detection performance index chart

and by comparing the NPSO-PF and LWRLR verify the effectiveness of the proposed approach.

关键词

Keywords

references

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