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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
2292015
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
2242015
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
1752018
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
1582017
Fine perceptive GANs for brain MR image super-resolution in wavelet domain
S You, B Lei, S Wang, CK Chui, AC Cheung, Y Liu, M Gan, G Wu, Y Shen
IEEE transactions on neural networks and learning systems, 2022
1372022
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
1272019
Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision
S Wang, X Wang, Y Hu, Y Shen, Z Yang, M Gan, B Lei
IEEE Transactions on Automation Science and Engineering 18 (2), 574-585, 2020
1132020
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
1022014
Generalized exponential autoregressive models for nonlinear time series: Stationarity, estimation and applications
G Chen, M Gan, G Chen
Information Sciences 438, 46-57, 2018
892018
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
802010
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
722012
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
672012
A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
J Chen, B Huang, M Gan, CLP Chen
Automatica 129, 109663, 2021
652021
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
642018
Multiscale low-light image enhancement network with illumination constraint
GD Fan, B Fan, M Gan, GY Chen, CLP Chen
IEEE Transactions on Circuits and Systems for Video Technology 32 (11), 7403 …, 2022
632022
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
592014
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
572019
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
502014
Recursive variable projection algorithm for a class of separable nonlinear models
M Gan, Y Guan, GY Chen, CLP Chen
IEEE Transactions on Neural Networks and Learning Systems 32 (11), 4971-4982, 2020
452020
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
452012
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