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An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite | View/Download：34/0 | TC[WOS]:11 TC[Scopus]:13 | Submit date：2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
A deep belief network for electricity utilisation feature analysis of air conditioners using a smart IoT platform Journal article
Journal of Information Processing Systems, 2018,Volume: 14,Issue: 1,Page: 162-175
Authors:  Song W.;  Feng N.;  Tian Y.;  Fong S.;  Cho K.
Favorite | View/Download：8/0 | TC[WOS]:6 TC[Scopus]:9 | Submit date：2019/02/13
Cloud computing  Deep belief network  IoT  Power conservation  Smart metre  
Fuzzy restricted boltzmann machine and deep belief network: A comparison on image reconstruction Conference paper
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Authors:  Shuang F.;  Chen C.L.P.
Favorite | View/Download：12/0 | TC[WOS]:0 TC[Scopus]:3 | Submit date：2019/02/11
DBN  FRBM  Generative  Image reconstruction  
Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning Journal article
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017,Volume: 13,Issue: 3,Page: 1213-1226
Authors:  Liu, Zhenbao;  Jia, Zhen;  Vong, Chi-Man;  Bu, Shuhui;  Han, Junwei;  Tang, Xiaojun
Favorite | View/Download：29/0 | TC[WOS]:40 TC[Scopus]:52 | Submit date：2018/10/30
Analog Circuits  Deep Belief Network  Deep Learning  Diagnosis  Failure  Fault  Restricted Boltzmann Machines  
Fuzzy Restricted Boltzmann Machine and Deep Belief Network: A Comparison on Image Reconstruction Conference paper
Authors:  Shuang, Feng;  Chen, C. L. Philip;  IEEE
Favorite | View/Download：8/0 | TC[WOS]:1 TC[Scopus]:0 | Submit date：2018/10/30
FRBM  DBN  generative  image reconstruction  
Representational learning with ELMs for big data Journal article
IEEE Intelligent Systems, 2013,Volume: 28,Issue: 6,Page: 31-34
Authors:  Kasun L.L.C.;  Zhou H.;  Huang G.-B.;  Vong C.M.
Favorite | View/Download：61/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/14