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故障诊断应用的支持向量机多值分类算法
引用本文:王焱,徐晓丹. 故障诊断应用的支持向量机多值分类算法[J]. 煤矿机电, 2009, 0(5): 59-60,63
作者姓名:王焱  徐晓丹
作者单位:辽宁工程技术大学电气与控制工程学院,辽宁,葫芦岛,125105
摘    要:对常用的多值分类算法进行分析。基于决策有向无环图的支持向量机多值分类算法,提高了分类精度,缩短了训练时间,仿真结果证明该算法的先进性。

关 键 词:支持向量机  有向无环图  多值分类  故障诊断

Multi-value Classification Support Vector Machine Algorithm in Fault Diagnosis
WANG Yan,XU Xiao-dan. Multi-value Classification Support Vector Machine Algorithm in Fault Diagnosis[J]. Colliery Mechanical & Electrical Technology, 2009, 0(5): 59-60,63
Authors:WANG Yan  XU Xiao-dan
Affiliation:Faculty of Electrical and Control Engineering;Liaoning Technical University;Huludao 125105;China
Abstract:Some common algorithms of multi-value classification are analyzed.A support vector machine multi-value classification algorithm based on DDAG(decision-making directed acyclic graph) reaches higher accuracy and shorter training time.The simulation results show that this algorithm is more advanced.
Keywords:support vector machine  directed acyclic graph  multi-value classification  fault diagnosis  
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