Paramasivan Saratchandran
Affiliations:- Nanyang Technological University, Singapore
According to our database1,
Paramasivan Saratchandran
authored at least 61 papers
between 1978 and 2009.
Collaborative distances:
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Online presence:
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on ntu.edu.sg
On csauthors.net:
Bibliography
2009
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009
A new learning algorithm with logarithmic performance index for complex-valued neural networks.
Neurocomputing, 2009
2008
Inf. Sci., 2008
Neurocomputing, 2008
Int. J. Neural Syst., 2008
Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
2006
IEEE Trans. Neural Networks, 2006
IEEE Trans. Control. Syst. Technol., 2006
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Int. J. Neural Syst., 2006
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.
Fuzzy Sets Syst., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation.
IEEE Trans. Neural Networks, 2005
Neural Process. Lett., 2005
On-Line Sequential Extreme Learning Machine.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005
An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
2004
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Int. J. Neural Syst., 2004
2003
Neural Parallel Sci. Comput., 2003
Neural Comput. Appl., 2003
Int. J. Neural Syst., 2003
Proceedings of the IEEE International Conference on Systems, 2003
Proceedings of the American Control Conference, 2003
2002
Communication channel equalization using complex-valued minimal radial basis function neural networks.
IEEE Trans. Neural Networks, 2002
Comput. Commun., 2002
Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems.
Comput. Electr. Eng., 2002
2001
Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN).
IEEE Trans. Neural Networks, 2001
Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN).
Neural Comput. Appl., 2001
Int. J. Neural Syst., 2001
Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks.
Autom., 2001
Proceedings of the Computational Science - ICCS 2001, 2001
Minimal resource allocation network (MRAN) for magnetic recording channel equalization.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
Neural Process. Lett., 2000
Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks.
Neural Process. Lett., 2000
Int. J. Neural Syst., 2000
Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks.
Proceedings of the IEEE International Conference on Networks 2000: Networking Trends and Challenges in the New Millennium, 2000
Dynamically structured radial basis function neural networks for robust aircraft flight control.
Proceedings of the American Control Conference, 2000
1999
A complex valued radial basis function network for equalization of fast time varying channels.
IEEE Trans. Neural Networks, 1999
Blind equalization using higher order statistics and neural networks: A comparative study.
Neural Parallel Sci. Comput., 1999
Proceedings of the Broadband Communications: Convergence of Network Technologies, 1999
1998
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm.
IEEE Trans. Neural Networks, 1998
Topology independent network-based parallelism of backpropagation neural networks on a heterogeneous array.
Neural Parallel Sci. Comput., 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Parallel architectures for artificial neural networks - paradigms and implementations.
IEEE, ISBN: 978-0-8186-8399-2, 1998
1997
Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers.
IEEE Trans. Syst. Man Cybern. Part B, 1997
A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks.
Neural Comput., 1997
Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network.
J. Intell. Fuzzy Syst., 1996
Adaptive nonlinear system identification using minimal radial basis function neural networks.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
1995
Genetic algorithm based mapping of backpropagation neural networks onto a parallel heterogenous processor network.
Neural Parallel Sci. Comput., 1995
Int. J. Neural Syst., 1995
1994
A study of parallel implementation of backpropagation neural networks on a transputer array.
Neural Parallel Sci. Comput., 1994
1993
Effect of hidden layers on generalization properties of feedforward neural networks.
Neural Parallel Sci. Comput., 1993
1991
Dynamic programming approach to optimal weight selection in multilayer neural networks.
IEEE Trans. Neural Networks, 1991
1980
1978
Simultaneous identification and control of discrete time single input single output systems.
PhD thesis, 1978