Paramasivan Saratchandran

According to our database, Paramasivan Saratchandran authored at least 61 papers between 1978 and 2009.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2009

Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems.

Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran

IEEE Trans. Syst. Man Cybern. Part B, 2009

A new learning algorithm with logarithmic performance index for complex-valued neural networks.

Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, P. Saratchandran

Neurocomputing, 2009

2008

Risk-sensitive loss functions for sparse multi-category classification problems.

Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran

Inf. Sci., 2008

A sequential multi-category classifier using radial basis function networks.

Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran

Neurocomputing, 2008

Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft.

Suresh Sundaram, N. Kannan, Narasimhan Sundararajan, Paramasivan Saratchandran

Int. J. Neural Syst., 2008

Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks.

Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, Paramasivan Saratchandran

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis.

Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Improved GAP-RBF network for classification problems.

Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran

Neurocomputing, 2007

2006

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks.

Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Neural Networks, 2006

Adaptive back-stepping neural controller for reconfigurable flight control systems.

A. A. Pashilkar, Narasimhan Sundararajan, Paramasivan Saratchandran

IEEE Trans. Control. Syst. Technol., 2006

Can threshold networks be trained directly?

Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Circuits Syst. II Express Briefs, 2006

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine.

Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan

Int. J. Neural Syst., 2006

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.

Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran

Fuzzy Sets Syst., 2006

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.

Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding.

Hai-Jun Rong, Guang-Bin Huang, Narasimhan Sundararajan, Paramasivan Saratchandran

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005

A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation.

Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Neural Networks, 2005

Performance Evaluation of GAP-RBF Network in Channel Equalization.

Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

Neural Process. Lett., 2005

Fully complex extreme learning machine.

Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

Neurocomputing, 2005

On-Line Sequential Extreme Learning Machine.

Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan

Proceedings of the IASTED International Conference on Computational Intelligence, 2005

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification.

Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran

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.

Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Syst. Man Cybern. Part B, 2004

Text-independent speaker verification using minimal resource allocation networks.

Li Guojie, Paramasivan Saratchandran, Narasimhan Sundararajan

Int. J. Neural Syst., 2004

2003

Modeling chaotic behavior of stock indices using intelligent paradigms.

Ajith Abraham, Ninan Sajith Philip, Paramasivan Saratchandran

Neural Parallel Sci. Comput., 2003

ATM congestion control using Minimal Resource Allocation Networks (MRAN).

Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran

Neural Comput. Appl., 2003

Novel Neutral Network Approach to Call Admission Control in High-speed Networks.

Supeng Leng, Krishnappa R. Subramanian, Narasimhan Sundararajan, Paramasivan Saratchandran

Int. J. Neural Syst., 2003

A sequential learning neural network for foreign exchange rate forecasting.

Minghui Hu, P. Saratchandran, Narasimhan Sundararajan

Proceedings of the IEEE International Conference on Systems, 2003

Neuro-controllers for aircraft auto-landing under severe wind conditions.

Yan Li, Zhifeng Wang, Narasimhan Sundararajan, Paramasivan Saratchandran

Proceedings of the American Control Conference, 2003

2002

Communication channel equalization using complex-valued minimal radial basis function neural networks.

Deng Jianping, Narasimhan Sundararajan, P. Saratchandran

IEEE Trans. Neural Networks, 2002

ABR traffic management using minimal resource allocation (neural) networks.

Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran

Comput. Commun., 2002

Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems.

T. K. Leong, Paramasivan Saratchandran, Narasimhan Sundararajan

Comput. Electr. Eng., 2002

2001

Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN).

Deng Jianping, N. Sundararajan, P. Saratchandran

IEEE Trans. Neural Networks, 2001

Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN).

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran

Neural Comput. Appl., 2001

Eeg Source Localization: A Compartive Study of Classical and Neural Network Methods.

Udantha R. Abeyratne, G. Zhang, P. Saratchandran

Int. J. Neural Syst., 2001

Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks.

Yan Li, Narasimhan Sundararajan, P. Saratchandran

Autom., 2001

A Genetic Approach for Two Dimensional Packing with Constraints.

Wee Sng Khoo, Paramasivan Saratchandran, Narasimhan Sundararajan

Proceedings of the Computational Science - ICCS 2001, 2001

Minimal resource allocation network (MRAN) for magnetic recording channel equalization.

Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation.

Sun Yonghong, Paramasivan Saratchandran, Narasimhan Sundararajan

Neural Process. Lett., 2000

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks.

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran

Neural Process. Lett., 2000

Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing.

Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran

Int. J. Neural Syst., 2000

Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network.

Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran

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.

Mohit Aiyar, Shefali Nagpal, N. Sundararajan, P. Saratchandran

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.

Li Yan, N. Sundarajan, P. Saratchandran

Proceedings of the American Control Conference, 2000

1999

A complex valued radial basis function network for equalization of fast time varying channels.

Q. Gan, Paramasivan Saratchandran, Narasimhan Sundararajan, Krishnappa R. Subramanian

IEEE Trans. Neural Networks, 1999

Blind equalization using higher order statistics and neural networks: A comparative study.

Li Rui, Narasimhan Sundararajan, Paramasivan Saratchandran

Neural Parallel Sci. Comput., 1999

Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic.

Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran

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.

Yingwei Lu, N. Sundararajan, P. Saratchandran

IEEE Trans. Neural Networks, 1998

Topology independent network-based parallelism of backpropagation neural networks on a heterogeneous array.

Shou King Foo, P. Saratchandran, N. Sundarajan

Neural Parallel Sci. Comput., 1998

Non-linear channel equalisation using minimal radial basis function neural networks.

Palaniswamy Chandra Kumar, Paramasivan Saratchandran, Narasimhan Sundararajan

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Parallel architectures for artificial neural networks - paradigms and implementations.

N. Sundararajan, P. Saratchandran

IEEE, ISBN: 978-0-8186-8399-2, 1998

1997

Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers.

Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan

IEEE Trans. Syst. Man Cybern. Part B, 1997

A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks.

Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran

Neural Comput., 1997

Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology.

Shou King Foo, P. Saratchandran, N. Sundararajan

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.

Shou King Foo, P. Saratchandran, N. Sundararajan

J. Intell. Fuzzy Syst., 1996

Adaptive nonlinear system identification using minimal radial basis function neural networks.

Yingwei Lu, Narasimhan Sundararajan, Paramasivan Saratchandran

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.

Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan

Neural Parallel Sci. Comput., 1995

Analysis of training set parallelism for backpropagation neural networks.

Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan

Int. J. Neural Syst., 1995

1994

A study of parallel implementation of backpropagation neural networks on a transputer array.

Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan

Neural Parallel Sci. Comput., 1994

1993

Effect of hidden layers on generalization properties of feedforward neural networks.

Paramasivan Saratchandran

Neural Parallel Sci. Comput., 1993

1991

Dynamic programming approach to optimal weight selection in multilayer neural networks.

P. Saratchandran

IEEE Trans. Neural Networks, 1991

1980

Comparison of adaptive controllers.

Oliver L. R. Jacobs, P. Saratchandran

Autom., 1980

1978

Simultaneous identification and control of discrete time single input single output systems.

P. Saratchandran

PhD thesis, 1978