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Min Han
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Chaotic time series prediction based on a novel robust echo state network
D Li, M Han, J Wang
IEEE Transactions on Neural Networks and Learning Systems 23 (5), 787-799, 2012
3532012
Support vector echo-state machine for chaotic time-series prediction
Z Shi, M Han
IEEE transactions on neural networks 18 (2), 359-372, 2007
3292007
Prediction of chaotic time series based on the recurrent predictor neural network
M Han, J Xi, S Xu, FL Yin
IEEE transactions on signal processing 52 (12), 3409-3416, 2004
3122004
Output-feedback cooperative formation maneuvering of autonomous surface vehicles with connectivity preservation and collision avoidance
Z Peng, D Wang, T Li, M Han
IEEE transactions on cybernetics 50 (6), 2527-2535, 2019
2612019
Online sequential extreme learning machine with kernels for nonstationary time series prediction
X Wang, M Han
Neurocomputing 145, 90-97, 2014
2182014
Recurrent broad learning systems for time series prediction
M Xu, M Han, CLP Chen, T Qiu
IEEE transactions on cybernetics 50 (4), 1405-1417, 2018
2032018
A review on intelligence dehazing and color restoration for underwater images
M Han, Z Lyu, T Qiu, M Xu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (5), 1820-1832, 2018
1782018
BitTableFI: An efficient mining frequent itemsets algorithm
J Dong, M Han
Knowledge-Based Systems 20 (4), 329-335, 2007
1682007
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation
J Fan, M Han, J Wang
Pattern Recognition 42 (11), 2527-2540, 2009
1642009
Noise smoothing for nonlinear time series using wavelet soft threshold
M Han, Y Liu, J Xi, W Guo
IEEE signal processing letters 14 (1), 62-65, 2006
1572006
Generalized single-hidden layer feedforward networks for regression problems
N Wang, MJ Er, M Han
IEEE transactions on neural networks and learning systems 26 (6), 1161-1176, 2014
1382014
Backpropagating constraints-based trajectory tracking control of a quadrotor with constrained actuator dynamics and complex unknowns
N Wang, SF Su, M Han, WH Chen
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (7), 1322-1337, 2018
1222018
Parsimonious extreme learning machine using recursive orthogonal least squares
N Wang, MJ Er, M Han
IEEE transactions on neural networks and learning systems 25 (10), 1828-1841, 2014
1212014
Structured manifold broad learning system: A manifold perspective for large-scale chaotic time series analysis and prediction
M Han, S Feng, CLP Chen, M Xu, T Qiu
IEEE Transactions on Knowledge and Data Engineering 31 (9), 1809-1821, 2018
1182018
Laplacian echo state network for multivariate time series prediction
M Han, M Xu
IEEE transactions on neural networks and learning systems 29 (1), 238-244, 2017
1122017
Adaptive elastic echo state network for multivariate time series prediction
M Xu, M Han
IEEE transactions on cybernetics 46 (10), 2173-2183, 2016
1112016
Data-driven based fault prognosis for industrial systems: A concise overview
K Zhong, M Han, B Han
IEEE/CAA Journal of Automatica Sinica 7 (2), 330-345, 2019
1072019
Analysis and modeling of multivariate chaotic time series based on neural network
M Han, Y Wang
Expert Systems with Applications 36 (2), 1280-1290, 2009
992009
Interval type-2 fuzzy neural networks for chaotic time series prediction: A concise overview
M Han, K Zhong, T Qiu, B Han
IEEE transactions on cybernetics 49 (7), 2720-2731, 2018
982018
Multivariate chaotic time series online prediction based on improved kernel recursive least squares algorithm
M Han, S Zhang, M Xu, T Qiu, N Wang
IEEE transactions on cybernetics 49 (4), 1160-1172, 2018
982018
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