Guang-Bin Huang
Title
Cited by
Cited by
Year
Extreme learning machine: theory and applications
GB Huang, QY Zhu, CK Siew
Neurocomputing 70 (1-3), 489-501, 2006
85282006
Extreme learning machine for regression and multiclass classification
GB Huang, H Zhou, X Ding, R Zhang
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011
39272011
Extreme learning machine: a new learning scheme of feedforward neural networks
GB Huang, QY Zhu, CK Siew
2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004
32522004
Universal approximation using incremental constructive feedforward networks with random hidden nodes
GB Huang, L Chen, CK Siew
IEEE Trans. Neural Networks 17 (4), 879-892, 2006
21322006
Extreme learning machines: a survey
GB Huang, DH Wang, Y Lan
International journal of machine learning and cybernetics 2 (2), 107-122, 2011
15702011
A fast and accurate online sequential learning algorithm for feedforward networks
NY Liang, GB Huang, P Saratchandran, N Sundararajan
IEEE Transactions on neural networks 17 (6), 1411-1423, 2006
15702006
Convex incremental extreme learning machine
GB Huang, L Chen
Neurocomputing 70 (16-18), 3056-3062, 2007
10132007
Trends in extreme learning machines: A review
G Huang, GB Huang, S Song, K You
Neural Networks 61, 32-48, 2015
9762015
Enhanced random search based incremental extreme learning machine
GB Huang, L Chen
Neurocomputing 71 (16-18), 3460-3468, 2008
8372008
Optimization method based extreme learning machine for classification
GB Huang, X Ding, H Zhou
Neurocomputing 74 (1-3), 155-163, 2010
7882010
Extreme learning machine for multilayer perceptron
J Tang, C Deng, GB Huang
IEEE transactions on neural networks and learning systems 27 (4), 809-821, 2015
7162015
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
GB Huang, P Saratchandran, N Sundararajan
IEEE transactions on neural networks 16 (1), 57-67, 2005
7042005
An insight into extreme learning machines: random neurons, random features and kernels
GB Huang
Cognitive Computation 6 (3), 376-390, 2014
6862014
Evolutionary extreme learning machine
QY Zhu, AK Qin, PN Suganthan, GB Huang
Pattern recognition 38 (10), 1759-1763, 2005
6692005
Learning capability and storage capacity of two-hidden-layer feedforward networks
GB Huang
IEEE transactions on neural networks 14 (2), 274-281, 2003
6192003
Error minimized extreme learning machine with growth of hidden nodes and incremental learning
G Feng, GB Huang, Q Lin, R Gay
IEEE Transactions on Neural Networks 20 (8), 1352-1357, 2009
6032009
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions
GB Huang, HA Babri
IEEE transactions on neural networks 9 (1), 224-229, 1998
4951998
Weighted extreme learning machine for imbalance learning
W Zong, GB Huang, Y Chen
Neurocomputing 101, 229-242, 2013
4672013
Representational learning with extreme learning machine for big data
LLC Kasun, H Zhou, GB Huang, CM Vong
IEEE intelligent systems 28 (6), 31-34, 2013
4152013
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks
GB Huang, P Saratchandran, N Sundararajan
IEEE transactions on systems, man, and cybernetics, part B (Cybernetics) 34 …, 2004
3982004
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Articles 1–20