Min Han
Cited by
Cited by
Support vector echo-state machine for chaotic time-series prediction
Z Shi, M Han
IEEE transactions on neural networks 18 (2), 359-372, 2007
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
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
Online sequential extreme learning machine with kernels for nonstationary time series prediction
X Wang, M Han
Neurocomputing 145, 90-97, 2014
BitTableFI: An efficient mining frequent itemsets algorithm
J Dong, M Han
Knowledge-Based Systems 20 (4), 329-335, 2007
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
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
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
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
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
Ridge regression learning in ESN for chaotic time series prediction
Z Shi, M Han
Control and Decision 22 (3), 258, 2007
A dynamic feedforward neural network based on Gaussian particle swarm optimization and its application for predictive control
M Han, J Fan, J Wang
IEEE Transactions on Neural Networks 22 (9), 1457-1468, 2011
Efficient clustering of radial basis perceptron neural network for pattern recognition
M Han, J Xi
Pattern Recognition 37 (10), 2059-2067, 2004
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
Adaptive approximation-based regulation control for a class of uncertain nonlinear systems without feedback linearizability
N Wang, JC Sun, M Han, Z Zheng, MJ Er
IEEE transactions on neural networks and learning systems 29 (8), 3747-3760, 2017
Ensemble of extreme learning machine for remote sensing image classification
M Han, B Liu
Neurocomputing 149, 65-70, 2015
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
Partial Lanczos extreme learning machine for single-output regression problems
X Tang, M Han
Neurocomputing 72 (13-15), 3066-3076, 2009
Remote sensing image classification based on neural network ensemble algorithm
M Han, X Zhu, W Yao
Neurocomputing 78 (1), 133-138, 2012
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
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