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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:8/0  |  Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
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.
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Algorithm design  Deep learning  Meta-heuristic algorithm  Nature-inspired computing algorithms  Neural network training  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
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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  
Early Diagnosis of Alzheimer Disease Using Instance-Based Learning Techniques Journal article
Journal of Medical Imaging and Health Informatics, 2016,Volume: 6,Issue: 4,Page: 1111-1118
Authors:  Khan, Aunsia;  Liu, Lian-Sheng;  Usman, Muhammad;  Fong, Simon
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Alzheimer's Disease  Computer Aided Diagnosis  Machine Learning  
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
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Neural Network  Incremental Machine Learning  Classification  Big Data  Parameter Optimization  
Real-time analysis of vital signs using incremental data stream mining techniques with a case study of ARDS under ICU treatment Journal article
Journal of Medical Imaging and Health Informatics, 2015,Volume: 5,Issue: 5,Page: 1108-1115
Authors:  Fong, Simon;  Siu, Shirley W. I.;  Zhou, Suzy;  Chan, Jonathan H.;  Mohammed, Sabah;  Fiaidhi, Jinan
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Data Stream Mining  Naïve Bayes  Optimized Very Fast Decision Tree  Support Vector Machine  Vital Signs Analysis  
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
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Convex Hull  Computational Geometry  Algorithm  Incremental Learning  
Knowledge acquisition in supporting diagnosis for e-healthcare infrastructure Conference paper
2nd International Conference on Software Engineering and Data Mining, SEDM 2010, Chengdu, China, 23-25 June 2010
Authors:  Chao S.;  Wong F.
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Data Mining  Data Pre-processing  E-healthcare  Incremental Learning  Machine Learning  
Hierarchical classification of business information on the web using incremental learning Conference paper
proceedings of 2009 IEEE International Conference on e-Business Engineering, Macau, PEOPLES R CHINA, OCT 21-23, 2009
Authors:  Yi Wang;  Zhiguo Gong;  Jingzhi Guo
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Hierarchical Classification  Incremental Learning  Support Vector Machine  
Incremental modelling of automotive engine performance using LS-SVM Conference paper
2009 IEEE International Conference on Information and Automation, ICIA 2009, Zhuhai, PEOPLES R CHINA, JUN 22-24, 2009
Authors:  Vong C.M.;  Wong P.K.;  Zhang R.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/13