Min Gan
Min Gan
Fuzhou University
Verified email at csu.edu.cn
Title
Cited by
Cited by
Year
Fuzzy restricted Boltzmann machine for the enhancement of deep learning
CLP Chen, CY Zhang, L Chen, M Gan
IEEE Transactions on Fuzzy Systems 23 (6), 2163-2173, 2015
1642015
Predictive deep Boltzmann machine for multiperiod wind speed forecasting
CY Zhang, CLP Chen, M Gan, L Chen
IEEE Transactions on Sustainable Energy 6 (4), 1416-1425, 2015
1402015
A regularized variable projection algorithm for separable nonlinear least-squares problems
GY Chen, M Gan, CLP Chen, HX Li
IEEE Transactions on Automatic Control 64 (2), 526-537, 2018
1072018
On some separated algorithms for separable nonlinear least squares problems
M Gan, CLP Chen, GY Chen, L Chen
IEEE Transactions on Cybernetics 48 (10), 2866-2874, 2017
1052017
A variable projection approach for efficient estimation of RBF-ARX model
M Gan, HX Li, H Peng
IEEE Transactions on Cybernetics 45 (3), 462-471, 2014
802014
A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling
M Gan, H Peng, X Peng, X Chen, G Inoussa
Information Sciences 180 (22), 4370-4383, 2010
652010
A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction
M Gan, H Peng, X Dong
Applied Mathematical Modelling 36 (7), 2911-2919, 2012
582012
Design a wind speed prediction model using probabilistic fuzzy system
G Zhang, HX Li, M Gan
IEEE Transactions on Industrial Informatics 8 (4), 819-827, 2012
562012
Modified Gram–Schmidt method-based variable projection algorithm for separable nonlinear models
GY Chen, M Gan, F Ding, CLP Chen
IEEE Transactions on Neural Networks and Learning Systems 30 (8), 2410-2418, 2018
472018
Generalized exponential autoregressive models for nonlinear time series: stationarity, estimation and applications
G Chen, M Gan, G Chen
Information Sciences 438, 46-57, 2018
462018
Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series
M Gan, CLP Chen, HX Li, L Chen
IEEE Signal Processing Letters 22 (7), 809-812, 2014
452014
A novel EM identification method for Hammerstein systems with missing output data
D Wang, S Zhang, M Gan, J Qiu
IEEE Transactions on Industrial Informatics 16 (4), 2500-2508, 2019
352019
Seasonal and trend time series forecasting based on a quasi-linear autoregressive model
M Gan, Y Cheng, K Liu, G Zhang
Applied Soft Computing 24, 13-18, 2014
332014
Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series
M Gan, H Peng
Applied Soft Computing 12 (1), 174-181, 2012
312012
A global–local optimization approach to parameter estimation of RBF-type models
M Gan, H Peng, L Chen
Information Sciences 197, 144-160, 2012
302012
An efficient variable projection formulation for separable nonlinear least squares problems
M Gan, HX Li
IEEE transactions on cybernetics 44 (5), 707-711, 2013
292013
Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series
M Gan, CL Philip Chen, L Chen, CY Zhang
International Journal of Systems Science 47 (8), 1868-1876, 2016
252016
An adaptive decision maker for constrained evolutionary optimization
M Gan, H Peng, X Peng, X Chen, G Inoussa
Applied Mathematics and Computation 215 (12), 4172-4184, 2010
232010
Term selection for a class of separable nonlinear models
M Gan, GY Chen, L Chen, CLP Chen
IEEE transactions on neural networks and learning systems 31 (2), 445-451, 2019
222019
Basis function matrix-based flexible coefficient autoregressive models: A framework for time series and nonlinear system modeling
GY Chen, M Gan, CLP Chen, HX Li
IEEE transactions on cybernetics, 2019
142019
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