Sundararajan N
Sundararajan N
Retd. Prof EEE, NTU, Singapore
Verified email at ntu.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
18972006
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
7742005
A sequential learning scheme for function approximation using minimal radial basis function neural networks
L Yingwei, N Sundararajan, P Saratchandran
Neural computation 9 (2), 461-478, 1997
6401997
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm
L Yingwei, N Sundararajan, P Saratchandran
IEEE Transactions on neural networks 9 (2), 308-318, 1998
5821998
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
4342004
Fully complex extreme learning machine
MB Li, GB Huang, P Saratchandran, N Sundararajan
Neurocomputing 68, 306-314, 2005
3632005
Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction
HJ Rong, N Sundararajan, GB Huang, P Saratchandran
Fuzzy sets and systems 157 (9), 1260-1275, 2006
3602006
Online sequential fuzzy extreme learning machine for function approximation and classification problems
HJ Rong, GB Huang, N Sundararajan, P Saratchandran
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009
3452009
Can threshold networks be trained directly?
GB Huang, QY Zhu, KZ Mao, CK Siew, P Saratchandran, N Sundararajan
IEEE Transactions on Circuits and Systems II: Express Briefs 53 (3), 187-191, 2006
2942006
Multicategory classification using an extreme learning machine for microarray gene expression cancer diagnosis
R Zhang, GB Huang, N Sundararajan, P Saratchandran
IEEE/ACM transactions on Computational Biology and Bioinformatics 4 (3), 485-495, 2007
2632007
Self regulating particle swarm optimization algorithm
MR Tanweer, S Suresh, N Sundararajan
Information Sciences 294, 182-202, 2015
2572015
Classification of mental tasks from EEG signals using extreme learning machine
NY Liang, P Saratchandran, GB Huang, N Sundararajan
International journal of neural systems 16 (01), 29-38, 2006
2412006
On-line sequential extreme learning machine.
GB Huang, NY Liang, HJ Rong, P Saratchandran, N Sundararajan
Computational Intelligence 2005, 232-237, 2005
2162005
Analysis of minimal radial basis function network algorithm for real-time identification of nonlinear dynamic systems
Y Li, N Sundararajan, P Saratchandran
IEE Proceedings-Control Theory and Applications 147 (4), 476-484, 2000
1702000
Performance enhancement of extreme learning machine for multi-category sparse data classification problems
S Suresh, S Saraswathi, N Sundararajan
Engineering Applications of Artificial Intelligence 23 (7), 1149-1157, 2010
1662010
Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks
Y Li, N Sundararajan, P Saratchandran
Automatica 37 (8), 1293-1301, 2001
1572001
Communication channel equalization using complex-valued minimal radial basis function neural networks
D Jianping, N Sundararajan, P Saratchandran
IEEE Transactions on neural networks 13 (3), 687-696, 2002
1542002
Radial basis function neural networks with sequential learning: MRAN and its applications
N Sundararajan, P Saratchandran, YW Lu
World Scientific, 1999
1371999
Risk-sensitive loss functions for sparse multi-category classification problems
S Suresh, N Sundararajan, P Saratchandran
Information Sciences 178 (12), 2621-2638, 2008
1282008
Identification of time-varying nonlinear systems using minimal radial basis function neural networks
L Yingwei, N Sundararajan, P Saratchandran
IEE Proceedings-Control Theory and Applications 144 (2), 202-208, 1997
1181997
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