Simultaneous identification and control of discrete time single input single output systems. - P. Saratchandran (1978)

Comparison of adaptive controllers. - Oliver L. R. Jacobs; P. Saratchandran (Autom., 1980)

Dynamic programming approach to optimal weight selection in multilayer neural networks. - P. Saratchandran (IEEE Trans. Neural Networks, 1991)

Effect of hidden layers on generalization properties of feedforward neural networks. - Paramasivan Saratchandran (Neural Parallel Sci. Comput., 1993)

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)

Analysis of training set parallelism for backpropagation neural networks. - Shou King Foo; Paramasivan Saratchandran; Narasimhan Sundararajan (Int. J. Neural Syst., 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)

Adaptive nonlinear system identification using minimal radial basis function neural networks. - Yingwei Lu; Narasimhan Sundararajan; Paramasivan Saratchandran (ICASSP, 1996)

Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network. - Shou King Foo; P. Saratchandran; N. Sundararajan 001 (J. Intell. Fuzzy Syst., 1996)

Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology. - Shou King Foo; P. Saratchandran; N. Sundararajan 001 (ICNN, 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 networks on a heterogeneous array of transputers. - Shou King Foo; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Syst. Man Cybern. Part B, 1997)

Parallel architectures for artificial neural networks - paradigms and implementations. - N. Sundararajan 001; P. Saratchandran (IEEE, 1998)

Non-linear channel equalisation using minimal radial basis function neural networks. - Palaniswamy Chandra Kumar; Paramasivan Saratchandran; Narasimhan Sundararajan (ICASSP, 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)

Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. - Yingwei Lu; N. Sundararajan 001; P. Saratchandran (IEEE Trans. Neural Networks, 1998)

Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic. - Ng Hock Soon; Narasimhan Sundararajan; Paramasivan Saratchandran (Broadband Communications, 1999)

Blind equalization using higher order statistics and neural networks: A comparative study. - Li Rui; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Parallel Sci. Comput., 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)

Dynamically structured radial basis function neural networks for robust aircraft flight control. - Li Yan; N. Sundarajan; P. Saratchandran (ACC, 2000)

Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks. - Mohit Aiyar; Shefali Nagpal; N. Sundararajan 001; P. Saratchandran (ICON, 2000)

Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network. - Deng Jianping; Narasimhan Sundararajan; Paramasivan Saratchandran (IJCNN (5), 2000)

Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing. - Deng Jianping; Narasimhan Sundararajan; Paramasivan Saratchandran (Int. J. Neural Syst., 2000)

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks. - Li Yan; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Process. Lett., 2000)

A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation. - Sun Yonghong; Paramasivan Saratchandran; Narasimhan Sundararajan (Neural Process. Lett., 2000)

Minimal resource allocation network (MRAN) for magnetic recording channel equalization. - Deng Jianping; Narasimhan Sundararajan; Paramasivan Saratchandran (ICASSP, 2001)

A Genetic Approach for Two Dimensional Packing with Constraints. - Wee Sng Khoo; Paramasivan Saratchandran; Narasimhan Sundararajan (International Conference on Computational Science (2), 2001)

Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks. - Yan Li; Narasimhan Sundararajan; P. Saratchandran (Autom., 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-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN). - Li Yan; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Comput. Appl., 2001)

Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN). - Deng Jianping; N. Sundararajan 001; P. Saratchandran (IEEE Trans. Neural Networks, 2001)

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)

ABR traffic management using minimal resource allocation (neural) networks. - Ng Hock Soon; Narasimhan Sundararajan; Paramasivan Saratchandran (Comput. Commun., 2002)

Communication channel equalization using complex-valued minimal radial basis function neural networks. - Deng Jianping; Narasimhan Sundararajan; P. Saratchandran (IEEE Trans. Neural Networks, 2002)

Neuro-controllers for aircraft auto-landing under severe wind conditions. - Yan Li; Zhifeng Wang; Narasimhan Sundararajan; Paramasivan Saratchandran (ACC, 2003)

A sequential learning neural network for foreign exchange rate forecasting. - Minghui Hu 001; P. Saratchandran; Narasimhan Sundararajan (SMC, 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)

ATM congestion control using Minimal Resource Allocation Networks (MRAN). - Ng Hock Soon; Narasimhan Sundararajan; Paramasivan Saratchandran (Neural Comput. Appl., 2003)

Modeling chaotic behavior of stock indices using intelligent paradigms. - Ajith Abraham; Ninan Sajith Philip; Paramasivan Saratchandran (Neural Parallel Sci. Comput., 2003)

An efficient sequential RBF network for bio-medical classification problems. - Runxuan Zhang; Narasimhan Sundararajan; Guang-Bin Huang; P. Saratchandran (IJCNN, 2004)

Text-independent speaker verification using minimal resource allocation networks. - Li Guojie; Paramasivan Saratchandran; Narasimhan Sundararajan (Int. J. Neural Syst., 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)

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. - Runxuan Zhang; Narasimhan Sundararajan; Guang-Bin Huang; Paramasivan Saratchandran (CIBCB, 2005)

On-Line Sequential Extreme Learning Machine. - Guang-Bin Huang; Nan-Ying Liang; Hai-Jun Rong; Paramasivan Saratchandran; Narasimhan Sundararajan (Computational Intelligence, 2005)

Time series study of GGAP-RBF network: predictions of Nasdaq stock and nitrate contamination of drinking water. - Ying Wang; Guang-Bin Huang; P. Saratchandran; Narasimhan Sundararajan (IJCNN, 2005)

Fully complex extreme learning machine. - Ming-Bin Li; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (Neurocomputing, 2005)

Performance Evaluation of GAP-RBF Network in Channel Equalization. - Ming-Bin Li; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (Neural Process. Lett., 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)

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding. - Hai-Jun Rong; Guang-Bin Huang; Narasimhan Sundararajan; Paramasivan Saratchandran (FUZZ-IEEE, 2006)

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. - Ming-Bin Li; Guang-Bin Huang; Paramasivan Saratchandran; Narasimhan Sundararajan (ISNN (2), 2006)

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. - Hai-Jun Rong; N. Sundararajan 001; Guang-Bin Huang; P. Saratchandran (Fuzzy Sets Syst., 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)

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)

Adaptive back-stepping neural controller for reconfigurable flight control systems. - A. A. Pashilkar; Narasimhan Sundararajan; Paramasivan Saratchandran (IEEE Trans. Control. Syst. Technol., 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)

Improved GAP-RBF network for classification problems. - Runxuan Zhang; Guang-Bin Huang; N. Sundararajan 001; P. Saratchandran (Neurocomputing, 2007)

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. - Runxuan Zhang; Guang-Bin Huang; N. Sundararajan 001; P. Saratchandran (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. - Ramaswamy Savitha; Suresh Sundaram 002; Narasimhan Sundararajan; Paramasivan Saratchandran (IJCNN, 2008)

Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft. - Suresh Sundaram 002; N. Kannan; Narasimhan Sundararajan; Paramasivan Saratchandran (Int. J. Neural Syst., 2008)

A sequential multi-category classifier using radial basis function networks. - Suresh Sundaram 002; Narasimhan Sundararajan; Paramasivan Saratchandran (Neurocomputing, 2008)

Risk-sensitive loss functions for sparse multi-category classification problems. - Suresh Sundaram 002; Narasimhan Sundararajan; Paramasivan Saratchandran (Inf. Sci., 2008)

A new learning algorithm with logarithmic performance index for complex-valued neural networks. - Ramaswamy Savitha; Suresh Sundaram 002; N. Sundararajan 001; P. Saratchandran (Neurocomputing, 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)