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KPCA-Based Visual Fault Diagnosis for Nonlinear Industrial Process 会议论文
Shenyang, China, August 8-11, 2019
作者:  Gao HW(高宏伟);  Yu, Jiahui;  Ju ZJ(琚兆杰)
收藏  |  浏览/下载:88/0  |  提交时间:2019/09/05
KPCA-Based Visual Fault Diagnosis for Nonlinear Industrial Process 会议论文
Shenyang, China, August 8-11, 2019
作者:  Yu, Jiahui;  Gao HW(高宏伟)
收藏  |  浏览/下载:15/0  |  提交时间:2019/09/05
Evaluation of Smart City Development Potential in Major Cities of China Based on the KPCA Method 会议论文
2016 23RD ANNUAL INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS. I AND II, 2016-01-01
作者:  Qu Yan
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/09
Determining the Optimal Kernel Parameter in KPCA Based on Sample Reconstruction 会议论文
35th Chinese Control Conference (CCC), Chengdu, PEOPLES R CHINA, 2016-07-27
作者:  Ji Hongquan;  He Xiao;  Li Gang;  Zhou Donghua
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/30
Determining the Optimal Kernel Parameter in KPCA Based on Sample Reconstruction 会议论文
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016-01-01
作者:  Ji Hongquan;  He Xiao;  Li Gang;  Zhou Donghua
收藏  |  浏览/下载:5/0  |  提交时间:2019/12/30
Determining the Optimal Kernel Parameter in KPCA Based on Sample Reconstruction 会议论文
35th Chinese Control Conference (CCC), JUL 27-29, 2016
作者:  Ji Hongquan;  He Xiao;  Li Gang;  Zhou Donghua
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/31
A Dual-parameter Optimization KPCA Method for Process Fault Diagnosis 会议论文
作者:  Jiang, Hongquan;  Gao, Xu;  Gao, Zhiyong;  Li, Yunlong
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/02
Long-term Drift Compensation Algorithms Based on the Kernel-Orthogonal Signal Correction in Electronic Nose Systems 会议论文
12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiaiie, PEOPLES R CHINA
作者:  Liu, Hang;  Chu, Renzhi;  Ran, Jian
收藏  |  浏览/下载:17/0  |  提交时间:2019/12/09
An improved KPCA algorithm of chemical process fault diagnosis based on RVM 会议论文
Xi'an, China, July 26, 2013 - July 28, 2013
作者:  Zhao, Xiaoqiang;  Xue, Yongfei;  Yang, Wu
收藏  |  浏览/下载:2/0  |  提交时间:2020/11/15
An intelligent pattern recognition method for machine fault diagnosis 会议论文
作者:  Deng, Linfeng;  Zhao, Rongzhen
收藏  |  浏览/下载:12/0  |  提交时间:2019/11/15


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