P. Saratchandran

发表

Identification of time-varying nonlinear systems using minimal radial basis function neural networks : Special section on marine control

Luo Yingwei, N. Sundararajan, P. Saratchandran, 1997 .

Dynamically structured radial basis function neural networks for robust aircraft flight control

Li Yan, Paramasivan Saratchandran, N. Sundarajan, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Constrained two dimensional bin packing using a genetic algorithm

Wee Sng Khoo, N. Sundararajan, P. Saratchandran, 2003 .

Numerical exploration of the parameter plane in a discrete predator–prey model

K. P. Harikrishnan, P. Saratchandran, K. C. Ajithprasad, 2015 .

Complex-valued growing and pruning rbf neural networks for communication channel equalisation

N. Sundararajan, Guang-Bin Huang, P. Saratchandran, 2006 .

Robustness evaluation of a minimal RBF neural network for nonlinear-data-storage-channel equalisation

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2002 .

Time series study of GGAP-RBF network: predictions of Nasdaq stock and nitrate contamination of drinking water

Ying Wang, Guang-Bin Huang, P. Saratchandran, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Soft Computing and Computer Aided Reliability Engineering – A Synergism for Online Monitoring of Electronic Systems

A. Abraham, P. Saratchandran, B. Nath, 2000 .

Second international workshop on Intelligent systems design and application

Ajith Abraham, Baikunth Nath, M. Sambandham, 2002 .

Computational Intelligence and Applications

Ajith Abraham, Baikunth Nath, M. Sambandham, 2017 .

MRAN for Nonlinear Dynamic Systems

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Li Rui, 1999, Neural Parallel Sci. Comput..

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1994, Neural Parallel Sci. Comput..

A Novel Sequential Learning Algorithm for Minimal Resource Allocation Neural Networks (MRAN)

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

Genetic algorithm based mapping of backpropagation neural networks onto a parallel heterogenous processor network

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1995, Neural Parallel Sci. Comput..

MRAN for Communication Channel Equalization

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

A Review of Radial Basis Function (RBF) Neural Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

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

Paramasivan Saratchandran, Shou King Foo, N. Sundarajan, 1998, Neural Parallel Sci. Comput..

Effect of hidden layers on generalization properties of feedforward neural networks

Paramasivan Saratchandran, P. Saratchandran, 1993, Neural Parallel Sci. Comput..

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

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Genetic Approach for Two Dimensional Packing with Constraints

Narasimhan Sundararajan, Paramasivan Saratchandran, Wee Sng Khoo, 2001, International Conference on Computational Science.

Performance evaluation of a fuzzy data association algorithm for multitarget tracking (MTT)

N. Sundararajan, P. Saratchandran, S. Ermin, 2000, Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093).

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

P. Saratchandran, N. Sundararajan, Runxuan Zhang, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Text-independent speaker verification using minimal resource allocation networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Li Guojie, 2004, Int. J. Neural Syst..

Chaos in a cyclic three-species predator–prey system with a partial consumption of superpredator

K. P. Harikrishnan, P. Saratchandran, M. Krishnadas, 2020 .

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, IEEE Transactions on Neural Networks.

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, Int. J. Neural Syst..

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, IEEE Transactions on Neural Networks.

Fully complex extreme learning machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Neurocomputing.

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran, 2000, Neural Processing Letters.

A sequential multi-category classifier using radial basis function networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2008, Neurocomputing.

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Improved GAP-RBF network for classification problems

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2007, Neurocomputing.

A sequential learning neural network for foreign exchange rate forecasting

Narasimhan Sundararajan, Paramasivan Saratchandran, Hu Minghui, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Can threshold networks be trained directly?

Chee Kheong Siew, Narasimhan Sundararajan, Paramasivan Saratchandran, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

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

Paramasivan Saratchandran, Sundaram Suresh, N. Sundararajan, 2009, Neurocomputing.

Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2000, Int. J. Neural Syst..

An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm

Paramasivan Saratchandran, N. Sundararajan, Yingwei Lu, 1998, IEEE Trans. Neural Networks.

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

Y Lu, N Sundararajan, P Saratchandran, 1997, Neural Computation.

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

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2006, Fuzzy Sets Syst..

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2008, Inf. Sci..

On-Line Sequential Extreme Learning Machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Computational Intelligence.

Minimal radial basis function neural networks for nonlinear channel equalisation

N. Sundararajan, P. Saratchandran, P. Chandra Kumar, 2000 .

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2002, IEEE Trans. Neural Networks.

A fault-tolerant neural aided controller for aircraft auto-landing

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2006 .

Minimal resource allocation network for adaptive noise cancellation

N. Sundararajan, P. Saratchandran, S. Yonghong, 1999 .

Adaptive Nonlinear Neural Controller for Aircraft Under Actuator Failures

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2007 .

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

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

Narasimhan Sundararajan, Paramasivan Saratchandran, Supeng Leng, 2003, Int. J. Neural Syst..

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications

W. Pedrycz, Los Alamitos, F. Gomide, 2009 .

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

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran, 2001, Neural Computing & Applications.

Robust neuro-H/sub /spl infin// controller design for aircraft auto-landing

P. Saratchandran, N. Sundararajan, Yan Li, 2004, IEEE Transactions on Aerospace and Electronic Systems.

Neuro Controller for Aircraft Auto landing Under Severe Winds and Control Surface Failures

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2005 .

Fault tolerant neuro-H/sub /spl infin// controller design for aircraft auto-landing

Yan Li, Zhifeng Wang, Narasimhan Sundararajan, 2003, Proceedings of the 35th Southeastern Symposium on System Theory, 2003..