Paramasivan Saratchandran

According to our database1, Paramasivan Saratchandran authored at least 59 papers between 1978 and 2009.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Online presence:

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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
Risk-sensitive loss functions for sparse multi-category classification problems.
Inf. Sci., 2008

A sequential multi-category classifier using radial basis function networks.
Neurocomputing, 2008

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

Improved GAP-RBF network for classification problems.
Neurocomputing, 2007

2006
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks.
IEEE Trans. Neural Networks, 2006

Adaptive back-stepping neural controller for reconfigurable flight control systems.
IEEE Trans. Control. Syst. Technol., 2006

Can threshold networks be trained directly?
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine.
Int. J. Neural Syst., 2006

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.
Fuzzy Sets Syst., 2006

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.
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.
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

Performance Evaluation of GAP-RBF Network in Channel Equalization.
Neural Process. Lett., 2005

Fully complex extreme learning machine.
Neurocomputing, 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

Text-independent speaker verification using minimal resource allocation networks.
Int. J. Neural Syst., 2004

2003
Modeling chaotic behavior of stock indices using intelligent paradigms.
Neural Parallel Sci. Comput., 2003

ATM congestion control using Minimal Resource Allocation Networks (MRAN).
Neural Comput. Appl., 2003

Novel Neutral Network Approach to Call Admission Control in High-speed Networks.
Int. J. Neural Syst., 2003

A sequential learning neural network for foreign exchange rate forecasting.
Proceedings of the IEEE International Conference on Systems, 2003

2002
Communication channel equalization using complex-valued minimal radial basis function neural networks.
IEEE Trans. Neural Networks, 2002

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

Eeg Source Localization: A Compartive Study of Classical and Neural Network Methods.
Int. J. Neural Syst., 2001

Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks.
Autom., 2001

A Genetic Approach for Two Dimensional Packing with Constraints.
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
A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation.
Neural Process. Lett., 2000

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks.
Neural Process. Lett., 2000

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

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

Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic.
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

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

Analysis of training set parallelism for backpropagation neural networks.
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
Comparison of adaptive controllers.
Autom., 1980

1978
Simultaneous identification and control of discrete time single input single output systems.
PhD thesis, 1978


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