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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]:7 TC[Scopus]:13 | 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:40/0 | TC[WOS]:14 TC[Scopus]:31 | Submit date:2019/01/17
broad learning system  deep learning  graph regularization  image recognition  feature extraction  incremental learning  
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:31/0 | TC[WOS]:139 TC[Scopus]:316 | 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)  
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:8/0 | 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  
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:17/0 | 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  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
Favorite | View/Download:14/0 | TC[WOS]:7 TC[Scopus]:0 | Submit date:2018/10/30
Single layer feedforward neural networks  random vector functional link networks  broad learning system  incremental learning  extremal learning machine  radial basis function networks  hierarchical extremal learning machine  
Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network Book chapter
出自: Big Data Applications and Use Cases:Springer, Cham, 2016, 页码: 175-196
Authors:  Fong, Simon;  Fang, Charlie;  Tian, Neal;  Wong, raymond;  Yap, Bee Wah
Favorite | View/Download:11/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/07/24
Neural Network  Incremental Machine Learning  Classification  Big Data  Parameter Optimization  
An enhanced version and an incremental learning version of visual-attention-imitation convex hull algorithm Journal article
Neurocomputing, 2014,Volume: 133,Page: 231-236
Authors:  Runzong Liu;  Yuan Yan Tang;  Bin Fang;  Jingrui Pi
Favorite | View/Download:8/0 | TC[WOS]:1 TC[Scopus]:1 | Submit date:2019/04/30
Convex Hull  Computational Geometry  Algorithm  Incremental Learning  
Incremental Learning Algorithms for Fast Classification in Data Stream Conference paper
Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013, New Delhi, India, 24-26 Aug. 2013
Authors:  Simon Fong;  Zhicong Luo;  Bee Wah Yap
Favorite | View/Download:7/0 | TC[WOS]:0 TC[Scopus]:3 | Submit date:2019/02/13
Classification  Data Mining  Incremental Learning  Lightweight Processing  Oulier Dectction  
iSentenizer: An incremental sentence boundary classifier Conference paper
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010, Beijing, China, 21-23 Aug. 2010
Authors:  Wong F.;  Chao S.
Favorite | View/Download:8/0 | TC[WOS]:0 TC[Scopus]:5 | Submit date:2018/12/24
I++ learnI+ng  Incremental Learning  Sentence Boundary Detection  Tagging