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Initial-Training-Free Online Sequential Extreme Learning Machine Based Adaptive Engine Air-fuel Ratio Control Journal article
Wong, P. K., Gao, X.H., Wong, K. I., Vong, C. M., Yang, Z. X.. Initial-Training-Free Online Sequential Extreme Learning Machine Based Adaptive Engine Air-fuel Ratio Control[J]. International Journal of Machine Learning and Cybernetics (SCI-E), 2018, 2245-2256.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K. I.;  Vong, C. M.;  Yang, Z. X.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:3.1/3.6 | Submit date：2022/08/09
Automotive Engine  Air-fuel Ratio  Online Sequential Extreme Learning Machine  Adaptive Control  
Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies Journal article
Wong, P. K., Gao, X.H., Wong, K.I., Vong, C. M.. Efficient Point-by-point Engine Calibration using Machine Learning and Sequential Design of Experiment Strategies[J]. Journal of the Franklin Institute - Engineering and Applied Mathematics (SCI-E), 2018, 1517-1538.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K.I.;  Vong, C. M.
Favorite |   IF:3.7/3.5 | Submit date：2022/08/09
Engine calibration  engine modeling  data processing  optimization  sequential design of experiment  online extreme learning machine  
Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration Journal article
Wong, P. K., Gao, X.H., Wong, K.I., Vong, C. M.. Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration[J]. Neurocomputing (SCI-E), 2018, 187-197.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K.I.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Engine calibration  engine modeling  engine optimization  initial-training-free online extreme learning machine  
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias Journal article
Wong, Pak Kin, Gao X.H., Wong K.I., Vong C.M.. An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias[J]. Cognitive Computation, 2016, 8(4), 746-756.
Authors:  Wong, Pak Kin;  Gao X.H.;  Wong K.I.;  Vong C.M.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:4.3/4.0 | Submit date：2019/02/13
Extreme Learning Machine  Inductive Bias  Multiclass  Reasoning  
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine Journal article
Gao X.H., Wong K.I., Wong, Pak Kin, Vong C.M.. Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine[J]. Neurocomputing, 2016, 194, 117-125.
Authors:  Gao X.H.;  Wong K.I.;  Wong, Pak Kin;  Vong C.M.
Favorite | TC[WOS]:14 TC[Scopus]:16  IF:5.5/5.5 | Submit date：2019/02/13
Adaptive Control  Machine Learning  System Identification  Time-varying Discrete Systems  
Adaptive Control using Fully Online Sequential Extreme Learning Machine and a Case Study on Engine Air-Fuel Ratio Regulation Journal article
Wong, P. K., Vong, C. M., Gao, X.H., Wong, K.I.. Adaptive Control using Fully Online Sequential Extreme Learning Machine and a Case Study on Engine Air-Fuel Ratio Regulation[J]. Mathematical Problems in Engineering (SCI-E), 2014, 1-11.
Authors:  Wong, P. K.;  Vong, C. M.;  Gao, X.H.;  Wong, K.I.
Favorite |   IF:1.430/1.393 | Submit date：2022/08/09
adaptive control  engine air-fuel ratio control  OS-ELM  ReOS-ELM  FOS-ELM  
Adaptive control using fully online sequential-extreme learning machine and a case study on engine air-fuel ratio regulation Journal article
Wong, Pak Kin, Vong C.M., Gao X.H., Wong K.I.. Adaptive control using fully online sequential-extreme learning machine and a case study on engine air-fuel ratio regulation[J]. Mathematical Problems in Engineering, 2014, 2014.
Authors:  Wong, Pak Kin;  Vong C.M.;  Gao X.H.;  Wong K.I.
Favorite | TC[WOS]:7 TC[Scopus]:21 | Submit date：2018/10/30