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Broad Learning Model with a Dual Feature Extraction Strategy for Classification Journal article
Zhang, Qi, Ying, Zuobin, Zhou, Jianhang, Sun, Jingzhang, Zhang, Bob. Broad Learning Model with a Dual Feature Extraction Strategy for Classification[J]. Mathematics, 2023, 11(19), 4087.
Authors:  Zhang, Qi;  Ying, Zuobin;  Zhou, Jianhang;  Sun, Jingzhang;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.3/2.2 | Submit date：2024/01/10
Broad Learning  Feature Extraction  Kernel Principal Component Analysis  Neural Network  
A kernel logistic neural network based on restricted Boltzmann machine Conference paper
Lv Q., Li H., Chen C.L.P., Wang D., Song W., Lin H.. A kernel logistic neural network based on restricted Boltzmann machine[C], 2016, 1-6.
Authors:  Lv Q.;  Li H.;  Chen C.L.P.;  Wang D.;  Song W.; et al.
Favorite | TC[WOS]:10 TC[Scopus]:1 | Submit date：2019/02/11
Kernel Logistic Neural Network  Maximum Likelihood Estimate  Principal Component Analysis  Restricted Boltzmann Machine  Ridge Regularization  
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine Journal article
Wong, P.K., Yang, Z. X., Vong, C. M., Zhong, J. H.. Real-time fault diagnosis for gas turbine generator systems using extreme learning machine[J]. Neurocomputing (SCI-E), 2014, 249-257.
Authors:  Wong, P.K.;  Yang, Z. X.;  Vong, C. M.;  Zhong, J. H.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Real-time fault diagnosis  gas turbine generator system  extreme learning machine  support vector machines  wavelet packet transform  time-domain statistical features  kernel principal component analysis  
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine Journal article
Wong, Pak Kin, Yang, Z.X., Vong, C.M., Zhong J.H.. Real-time fault diagnosis for gas turbine generator systems using extreme learning machine[J]. Neurocomputing, 2014, 128, 249-257.
Authors:  Wong, Pak Kin;  Yang, Z.X.;  Vong, C.M.;  Zhong J.H.
Favorite | TC[WOS]:123 TC[Scopus]:149 | Submit date：2018/10/30
Extreme Learning Machine  Gas Turbine Generator System  Kernel Principal Component Analysis  Real-time Fault Diagnosis  Time-domain Statistical Features  Wavelet Packet Transform  
Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis Journal article
Vong C.-M., Wong, Pak Kin, Ip W.-F.. Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis[J]. Engineering Applications of Artificial Intelligence, 2011, 24(7), 1281-1294.
Authors:  Vong C.-M.;  Wong, Pak Kin;  Ip W.-F.
Favorite | TC[WOS]:18 TC[Scopus]:28 | Submit date：2019/02/13
Case Based Reasoning (Cbr)  Engine Spark Ignition Signal Analysis  Kernel K-means (Kkm)  Kernel Principal Component Analysis (Kpca)  Wavelet Packet Transform (Wpt)  
Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems Journal article
Vong, C. M., Wong, P. K., Ip, W.F.. Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems[J]. Journal of the Chinese Society of Mechanical Engineers (SCI-E), 2010, 363-374.
Authors:  Vong, C. M.;  Wong, P. K.;  Ip, W.F.
Favorite |   IF:0.2/0.2 | Submit date：2022/08/09
Support vector machine  Wavelet packet transform  Kernel principal component analysis  Engine ignition pattern analysis  
Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Engine Ignition System Diagnosis Journal article
Chi-man Vong, Wong, Pak Kin, Weng-fai Ip. Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Engine Ignition System Diagnosis[J]. Journal of the Chinese Society of Mechanical Engineers, 2010, 31(5), 363-373.
Authors:  Chi-man Vong;  Wong, Pak Kin;  Weng-fai Ip
Favorite | TC[WOS]:2   IF:0.2/0.2 | Submit date：2019/04/10
Support Vector Machine  Engine Ignition Pattern Analysis  Wavelet Packet Transform  Kernel Principal Component Analysis