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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:33/0 | TC[WOS]:7 TC[Scopus]:12 | Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
Discriminative graph regularized broad learning system for image recognition Journal article
SCIENCE CHINA-INFORMATION SCIENCES, 2018,Volume: 61,Issue: 11
Authors:  Jin, Junwei;  Liu, Zhulin;  Chen, C. L. Philip
Favorite | View/Download:38/0 | TC[WOS]:14 TC[Scopus]:28 | Submit date:2019/01/17
broad learning system  deep learning  graph regularization  image recognition  feature extraction  incremental learning  
How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics Conference paper
Advances in Intelligent Systems and Computing
Authors:  Fong S.;  Deb S.;  Yang X.-S.
Favorite | View/Download:5/0 | TC[WOS]:4 TC[Scopus]:11 | Submit date:2019/02/13
Algorithm design  Deep learning  Meta-heuristic algorithm  Nature-inspired computing algorithms  Neural network training  
Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest Journal article
INTERNET OF THINGS AND BIG DATA ANALYTICS TOWARD NEXT-GENERATION INTELLIGENCE, 2018,Volume: 30,Page: 483-502
Authors:  Fong, Simon;  Song, Wei;  Wong, Raymond;  Bhatt, Chintan;  Korzun, Dmitry;  Dey, N;  Hassanien, AE;  Bhatt, C;  Ashour, AS;  Satapathy, SC
Favorite | View/Download:299/0 | TC[WOS]:2 TC[Scopus]:0 | Submit date:2018/10/30
Data stream mining  Decision trees  Meta-classifiers  Big data  
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 1,Page: 10-24
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite | View/Download:30/0 | TC[WOS]:139 TC[Scopus]:269 | Submit date:2018/10/30
Big data  big data modeling  broad learning system (BLS)  deep learning  incremental learning  random vector functional-link neural networks (RVFLNN)  single layer feedforward neural networks (SLFN)  singular value decomposition (SVD)  
Is the incremental theory of intelligence a key to students' motivational engagement? The moderating effects of self-enhancement and self-criticism Journal article
INTERACTIVE LEARNING ENVIRONMENTS, 2018,Volume: 26,Issue: 6,Page: 730-744
Authors:  Wei-Wen Chen;  Ching-Chen Chen;  Chia-Liang Dai;  Nok Man U;  Lin Cheng
Favorite | View/Download:14/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date:2018/10/31
Implicit Theories  Incremental Beliefs  Self-enhancement  Self-criticism  Motivational Engagement  
Broad learning system: Feature extraction based on K-means clustering algorithm Conference paper
ICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems
Authors:  Liu Z.;  Zhou J.;  Chen C.L.P.
Favorite | View/Download:7/0 | TC[WOS]:0 TC[Scopus]:11 | Submit date:2019/02/11
broad learning system  deep learning  feature representation  incremental learning  K-means  random vector functional link networks  Single layer feedforward neural networks  SVD  
Resonant Dipolar Coupling of Microwaves with Confined Acoustic Vibrations in a Rod-shaped Virus Journal article
SCIENTIFIC REPORTS, 2017,Volume: 7
Authors:  Sun, Chi-Kuang;  Tsai, Yi-Chun;  Chen, Yi-Jan E.;  Liu, Tzu-Ming;  Chen, Hui-Yuan;  Wang, Han-Ching;  Lo, Chu-Fang
View | Adobe PDF | Favorite | View/Download:591/30 | TC[WOS]:4 TC[Scopus]:6 | Submit date:2018/10/30
Broad learning system: A new learning paradigm and system without going deep Conference paper
Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
Authors:  Chen C.L.P.;  Liu Z.
Favorite | View/Download:5/0 | TC[WOS]:0 TC[Scopus]:15 | Submit date:2019/02/11
broad learning system  deep learning  random vector functional link networks  Single layer feedforward neural networks  
Broad Learning System: Feature extraction based on K-means clustering algorithm Conference paper
Authors:  Liu, Zhulin;  Zhou, Jin;  Chen, C. L. Philip;  IEEE
Favorite | View/Download:13/0 | TC[WOS]:3 TC[Scopus]:0 | Submit date:2018/10/30
Single layer feedforward neural networks  SVD  random vector functional link networks  broad learning system  incremental learning  deep learning  K-means  feature representation