SVM binary tree multi-classification method based on IBQPSO and its application in analog circuits fault diagnosis

Yang Sen, Song Xiao
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引用次数: 1

Abstract

Aiming at the problems of traditional classification methods, a SVM binary tree multi-classification method based on Improved Binary-coded quantum particle swarm optimization (IBQPSO) is proposed in this paper. First, IBQPSO algorithm and its steps are presented and multi-classification SVM based on binary tree is discussed. Then, the presented method and procedures are analyzed. Finally, taking the biquadratic filter circuit as an example to do the simulation experiment, the result shows that the proposed method is efficient.
基于IBQPSO的SVM二叉树多分类方法及其在模拟电路故障诊断中的应用
针对传统分类方法存在的问题,提出了一种基于改进二进制编码量子粒子群优化(IBQPSO)的支持向量机二叉树多分类方法。首先介绍了IBQPSO算法及其步骤,并讨论了基于二叉树的多分类支持向量机算法。然后,对所提出的方法和步骤进行了分析。最后,以双二次滤波电路为例进行仿真实验,结果表明该方法是有效的。
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