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An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems Journal article
Chen, Guang Yong, Gan, Min, Zhu, Hong Tao, Chen, Long, Chen, C. L.P.. An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(11), 7259-7267.
Authors:  Chen, Guang Yong;  Gan, Min;  Zhu, Hong Tao;  Chen, Long;  Chen, C. L.P.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:8.6/8.7 | Submit date：2022/05/17
Iterative Algorithms  Jacobian Matrices  Matrix Decomposition  Numerical Models  Optimization  Parameter Estimation  Projection Algorithms  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least-squares (Snlls) Problem  Signal Processing  Variable projection.\enlargethispage-12pt  
A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model Journal article
Chen, Guang Yong, Chen, Long, Cheng, Chen, Zhang, Xian. A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model[J]. Nonlinear Dynamics, 2021, 104(4), 4023-4034.
Authors:  Chen, Guang Yong;  Chen, Long;  Cheng, Chen;  Zhang, Xian
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:5.2/4.8 | Submit date：2022/05/13
Expectation–maximization (Em) Algorithm  Parameter Estimation  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least Squares Problem (Snlls)  Variable Projection (Vp) Algorithm  
A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm Journal article
Zhou, Lijun, Wang, Dongyang, Cui, Yi, Zhang, Liqing, Wang, Lujia, Guo, Lei. A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm[J]. IEEE Transactions on Transportation Electrification, 2021, 7(1), 91-103.
Authors:  Zhou, Lijun;  Wang, Dongyang;  Cui, Yi;  Zhang, Liqing;  Wang, Lujia; et al.
Favorite | TC[WOS]:14 TC[Scopus]:17  IF:7.2/7.9 | Submit date：2021/12/07
Cuckoo Search (Cs) Algorithm Optimized By The Differential Evolution (De) Algorithm And The Quadratic Interpolation (Qi) Method (Cs-dq Algorithm)  Frequency-domain Dielectric Spectrum (Fds) Test  High-speed Railway  Insulation Diagnosis  Multiclass Least-squares Support Vector Machine (Ls-svm) Model  Traction Transformer  
Basis Function Matrix-Based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling Journal article
Chen, Guang Yong, Gan, Min, Chen, C. L.Philip, Li, Han Xiong. Basis Function Matrix-Based Flexible Coefficient Autoregressive Models: A Framework for Time Series and Nonlinear System Modeling[J]. IEEE Transactions on Cybernetics, 2021, 51(2), 614-623.
Authors:  Chen, Guang Yong;  Gan, Min;  Chen, C. L.Philip;  Li, Han Xiong
Favorite | TC[WOS]:35 TC[Scopus]:35  IF:9.4/10.3 | Submit date：2021/12/07
Model Building  Nonlinear Least Squares (Nlls)  Parameter Estimation  System Modeling  Time Series  
Insights into Algorithms for Separable Nonlinear Least Squares Problems Journal article
Chen, Guang Yong, Gan, Min, Wang, Shuqiang, Chen, C. L.Philip. Insights into Algorithms for Separable Nonlinear Least Squares Problems[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30, 1207-1218.
Authors:  Chen, Guang Yong;  Gan, Min;  Wang, Shuqiang;  Chen, C. L.Philip
Favorite | TC[WOS]:23 TC[Scopus]:25  IF:10.8/12.1 | Submit date：2022/05/13
Bundle Adjustment  Image Restoration  Parameter Estimation  Rbf-ar Model  Separable Nonlinear Least-squares Problem  Variable Projection  
A formative measurement approach for exploring how to form service quality in hot spring resorts Journal article
Xiaoming Liu, Yi Fu, Ren-Fang Chao, Jun (Justin) Li. A formative measurement approach for exploring how to form service quality in hot spring resorts[J]. Tourism and Hospitality Research, 2019, 19(1), 27-39.
Authors:  Xiaoming Liu;  Yi Fu;  Ren-Fang Chao;  Jun (Justin) Li
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:3.0/3.2 | Submit date：2019/10/17
Higher-order Construct  Hot Spring Resort  Formative Measurement  Reflective–formative Model  Partial Least Squares Structural Equation Modelling  Service Quality  
Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation Journal article
Wong, Pak Kin, Wong H.C., Vong C.M., Wong K.I.. Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation[J]. International Journal of Engine Research, 2016, 17(8), 866-885.
Authors:  Wong, Pak Kin;  Wong H.C.;  Vong C.M.;  Wong K.I.
Favorite | TC[WOS]:6 TC[Scopus]:7 | Submit date：2019/02/13
Engine Lambda  Fuzzy Optimizer  Model Predictive Control  Online Least-squares Support Vector Machine  Wavelet Transformation  
Online Wavelet Least-Squares Support Vector Machine Fuzzy Predictive Control for Engine Lambda Regulation Journal article
Wong, P. K., Wong, H.C., Vong, C. M., Wong, K.I.. Online Wavelet Least-Squares Support Vector Machine Fuzzy Predictive Control for Engine Lambda Regulation[J]. International Journal of Engine Research (SCI-E), 2016, 866-885.
Authors:  Wong, P. K.;  Wong, H.C.;  Vong, C. M.;  Wong, K.I.
Favorite |  | Submit date：2022/08/09
Online least-squares support vector machine  model predictive control  wavelet transformation  engine lambda  fuzzy optimizer  
Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series Journal article
Gan M., Chen C.L.P., Li H.-X., Chen L.. Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series[J]. IEEE Signal Processing Letters, 2015, 22(7), 809-812.
Authors:  Gan M.;  Chen C.L.P.;  Li H.-X.;  Chen L.
Favorite | TC[WOS]:48 TC[Scopus]:10 | Submit date：2019/02/11
Functional-coefficient Autoregressive Model  Gradient Radial Basis Function  Nonlinear And Nonstationary Time Series  Separable Nonlinear Least Squares  
Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model Journal article
He K., Xu Q., Jia M.. Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model[J]. IEEE Transactions on Automation Science and Engineering, 2015, 12(3), 1092-1103.
Authors:  He K.;  Xu Q.;  Jia M.
Favorite | TC[WOS]:27 TC[Scopus]:32  IF:5.9/6.0 | Submit date：2018/10/30
Hard Turning  Hidden Markov Model (Hmm)  Least Squares Support Vector Machine (Lssvm)  Surface Roughness Prediction