首页|期刊导航|哈尔滨工业大学学报（英文版）|Analog circuit intelligent fault diagnosis based on GKPCA and multi-class SVM approach
哈尔滨工业大学学报（英文版）2012，Vol.19Issue(6)：63-71,9.
Analog circuit intelligent fault diagnosis based on GKPCA and multi-class SVM approach
Analog circuit intelligent fault diagnosis based on GKPCA and multi-class SVM approach
摘要
关键词
greedy kernel principal component analysis/one-against-all/support vector machine/fault diagnosis/analog circuitKey words
greedy kernel principal component analysis/one-against-all/support vector machine/fault diagnosis/analog circuit分类
信息技术与安全科学引用本文复制引用
SAN Ye,GUO Ke,ZHU Yi..Analog circuit intelligent fault diagnosis based on GKPCA and multi-class SVM approach[J].哈尔滨工业大学学报（英文版）,2012,19(6):63-71,9.基金项目
Sponsored by the National Natural Science Foundation of China(Grant No.61074127). （Grant No.61074127）
