N. Sundararajan

Publication Activity (10 Years)

Years Active: 1987-2021
Publications (10 Years): 11

Top Topics

Rolling Horizon

Optimization Algorithm

Particle Swarm Optimization Algorithm

Top Venues

Appl. Soft Comput.

IFAC J. Syst. Control.

Publications

Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan
Erratum to "A rolling horizon optimization approach for dynamic airspace sectorization" [IFAC J. Syst. Control 11 (2020) 100076]. IFAC J. Syst. Control. 17 (2021)
Cheryl Sze Yin Wong, Suresh Sundaram, N. Sundararajan
A rolling horizon optimization approach for dynamic airspace sectorization. IFAC J. Syst. Control. 11 (2020)
Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, N. Sundararajan, P. B. Sujit
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm. CoRR (2020)
S. V. Aruna Kumar, B. S. Harish, B. S. Mahanand, N. Sundararajan
An efficient Meta-cognitive Fuzzy C-Means clustering approach. Appl. Soft Comput. 85 (2019)
Subhrajit Samanta, Suresh Sundaram, J. Senthilnath, N. Sundararajan
A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting. Appl. Soft Comput. 82 (2019)
Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan
Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. Inf. Sci. (2018)
A. K. Das, Suresh Sundaram, N. Sundararajan
A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. Expert Syst. Appl. 64 (2016)
Shirin Dora, K. Subramanian, Suresh Sundaram, N. Sundararajan
Development of a Self-Regulating Evolving Spiking Neural Network for classification problem. Neurocomputing 171 (2016)
Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan
Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems. Inf. Sci. 326 (2016)
Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan
MSO: a framework for bound-constrained black-box global optimization algorithms. J. Glob. Optim. 66 (4) (2016)
Muhammad Rizwan Tanweer, R. Auditya, Suresh Sundaram, N. Sundararajan, N. Srikanth
Directionally Driven Self-Regulating Particle Swarm Optimization algorithm. Swarm Evol. Comput. 28 (2016)
Shirin Dora, Suresh Sundaram, N. Sundararajan
A sequential learning algorithm for a spiking neural classifier. Appl. Soft Comput. 36 (2015)
Vigneshwaran Senthilvel, Suresh Sundaram, B. S. Mahanand, N. Sundararajan
ASD detection in males using MRI- an age-group based study. IJCNN (2015)
Shirin Dora, Suresh Sundaram, N. Sundararajan
A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier. IJCNN (2014)
Saras Saraswathi, B. S. Mahanand, Andrzej Kloczkowski, Suresh Sundaram, N. Sundararajan
Detection of onset of Alzheimer's disease from MRI images using a GA-ELM-PSO classifier. CIMI (2013)
Shaik Ismail, Abhay A. Pashilkar, Ramakalyan Ayyagari, N. Sundararajan
Improved autolanding controller for aircraft encountering unknown actuator failures. CISDA (2013)
B. S. Mahanand, Suresh Sundaram, N. Sundararajan, M. Aswatha Kumar
Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network. Neural Networks 32 (2012)
Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network. Neural Networks 32 (2012)
Suresh Sundaram, N. Sundararajan
An on-line learning neural controller for helicopters performing highly nonlinear maneuvers. Appl. Soft Comput. 12 (1) (2012)
Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network. Neural Comput. 24 (5) (2012)
Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems. Inf. Sci. 187 (2012)
Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, H. J. Kim
Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems. ISNN (1) (2011)
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, Guang-She Zhao
Extended sequential adaptive fuzzy inference system for classification problems. Evol. Syst. 2 (2) (2011)
N. Sundararajan, Ali Al-Lazki
An alternate and effective approach to Hilbert transform in geophysical applications. Comput. Geosci. 37 (10) (2011)
Suresh Sundaram, Saras Saraswathi, N. Sundararajan
Performance enhancement of extreme learning machine for multi-category sparse data classification problems. Eng. Appl. Artif. Intell. 23 (7) (2010)
Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan
A Fully Complex-Valued Radial Basis Function Network and its Learning Algorithm. Int. J. Neural Syst. 19 (4) (2009)
Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, P. Saratchandran
A new learning algorithm with logarithmic performance index for complex-valued neural networks. Neurocomputing 72 (16-18) (2009)
V. Chakravarthi, N. Sundararajan
TODGINV - A code for optimization of gravity anomalies due to anticlinal and synclinal structures with parabolic density contrast. Comput. Geosci. 34 (8) (2008)
Sriram Narasimha, Suresh Sundaram, N. Sundararajan
Direct Adaptive Neural Controller for Earthquake Excited Nonlinear Base Isolated Buildings. ISIC (2007)
Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran
Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (3) (2007)
Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran
Improved GAP-RBF network for classification problems. Neurocomputing 70 (16-18) (2007)
V. Chakravarthi, N. Sundararajan
INV2P5DSB - A code for gravity inversion of 2.5-D sedimentary basins using depth dependent density. Comput. Geosci. 33 (4) (2007)
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets Syst. 157 (9) (2006)
V. Chakravarthi, N. Sundararajan
INVGRAFALT-A Fortran code for Marquardt inversion of gravity anomalies of faulted beds with varying density. Comput. Geosci. 31 (10) (2005)
V. Chakravarthi, N. Sundararajan
-D sedimentary basins - a case of variable density contrast. Comput. Geosci. 31 (7) (2005)
V. Chakravarthi, N. Sundararajan
Automatic 3-D gravity modeling of sedimentary basins with density contrast varying parabolically with depth. Comput. Geosci. 30 (6) (2004)
Deng Jianping, N. Sundararajan, P. Saratchandran
Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN). IEEE Trans. Neural Networks 12 (1) (2001)
Jiong-Sang Yee, Jian Liang Wang, N. Sundararajan, Guang-Hong Yang
flight controller design for bank-angle tracking maneuver of a jet transport aircraft. CDC (2001)
Mohit Aiyar, Shefali Nagpal, N. Sundararajan, P. Saratchandran
Minimal resource allocation network (MRAN) for call admission control (CAC) of ATM networks. ICON (2000)
Yingwei Lu, N. Sundararajan, P. Saratchandran
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. IEEE Trans. Neural Networks 9 (2) (1998)
Shou King Foo, P. Saratchandran, N. Sundararajan
Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology. ICNN (1997)
Shou King Foo, P. Saratchandran, N. Sundararajan
Optimal and Suboptimal Pattern Allocation Schemes for Backpropagation Learning on a Heterogeneous Processor Network. J. Intell. Fuzzy Syst. 4 (3) (1996)
Jianliang Wang, N. Sundararajan
Extended nonlinear flight controller design for aircraft. Autom. 32 (8) (1996)
N. Sundararajan
Experimental evaluation of flexible structure identification using lattice filters. Autom. 23 (5) (1987)