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Ganesh K. Venayagamoorthy
Ganesh Kumar Venayagamoorthy
Person information
- affiliation: Clemson University
- affiliation: Missouri University of Science and Technology, Rolla, MO, USA
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2020 – today
- 2024
- [j68]Chirath Pathiravasam
, Ganesh K. Venayagamoorthy
, Rajan Ratnakumar
, Kyle Skeen:
Functional Situational Awareness for Reliable and Efficient Operation of Hybrid Electric Vehicle Power Systems. IEEE Access 12: 44000-44012 (2024) - [j67]Dulip Madurasinghe
, Ganesh Kumar Venayagamoorthy
:
Distributed Dynamic Security Assessment for Modern Power System Operational Situational Awareness. IEEE Access 12: 147991-148010 (2024) - 2023
- [j66]Dulip Madurasinghe
, Ganesh Kumar Venayagamoorthy
:
An Efficient and Reliable Electric Power Transmission Network Topology Processing. IEEE Access 11: 127956-127973 (2023) - [c149]Rajan Ratnakumar
, Johnoy Richards, Ganesh K. Venayagamoorthy:
Modern Control Center Operational Situational Awareness Considering Electromechanical Oscillations. AFRICON 2023: 1-6 - [c148]Michael Walters, John Yonce, Ganesh K. Venayagamoorthy:
Data-Driven Digital Twins for Power Estimations of a Solar Photovoltaic Plant. SSCI 2023: 246-251 - [c147]Deborah George, Ganesh K. Venayagamoorthy:
Digital Twins for Creating Virtual Models of Solar Photovoltaic Plants. SSCI 2023: 252-257 - 2022
- [j65]Chirath Pathiravasam
, Ganesh K. Venayagamoorthy
:
Distributed Demand Response Management for a Virtually Connected Community With Solar Power. IEEE Access 10: 8350-8362 (2022) - [j64]Iroshani Jayawardene
, Ganesh Kumar Venayagamoorthy
, Xingsi Zhong
:
Resilient and Sustainable Tie-Line Bias Control for a Power System in Uncertain Environments. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 205-219 (2022) - [c146]Xingsi Zhong, Ganesh K. Venayagamoorthy, Richard R. Brooks:
A Virtual Synchrophasor Network for Power System Resiliency Under Concurrent DoS Attacks. SSCI 2022: 1342-1349 - [i2]Dulip Madurasinghe, Ganesh K. Venayagamoorthy:
Identification of Substation Configurations in Modern Power Systems using Artificial Intelligence. CoRR abs/2207.05603 (2022) - 2021
- [j63]Pramod Herath
, Ganesh Kumar Venayagamoorthy
:
Scalable Residential Demand Response Management. IEEE Access 9: 159133-159145 (2021) - 2020
- [j62]Roberto Casado-Vara
, Inés Sittón-Candanedo, Fernando de la Prieta
, Sara Rodríguez, José Luís Calvo-Rolle
, Ganesh Kumar Venayagamoorthy
, Pastora Vega, Javier Prieto
:
Edge Computing and Adaptive Fault-Tolerant Tracking Control Algorithm for Smart Buildings: A Case Study. Cybern. Syst. 51(7): 685-697 (2020) - [j61]Jonathan Oakley
, Lu Yu, Xingsi Zhong, Ganesh Kumar Venayagamoorthy
, Richard R. Brooks:
Protocol Proxy: An FTE-based covert channel. Comput. Secur. 92: 101777 (2020) - [j60]Guneet Bedi
, Ganesh Kumar Venayagamoorthy
, Rajendra Singh
:
Development of an IoT-Driven Building Environment for Prediction of Electric Energy Consumption. IEEE Internet Things J. 7(6): 4912-4921 (2020) - [c145]Paranietharan Arunagirinathan, Ganesh K. Venayagamoorthy
:
Situational Awareness of Power System Stabilizers' Performance in Energy Control Centers. FUZZ-IEEE 2020: 1-8 - [c144]Chirath Pathiravasam, Paranietharan Arunagirinathan, Iroshani Jayawardene, Ganesh K. Venayagamoorthy
, Yongqiang Wang:
Spatio-Temporal Distributed Solar Irradiance and Temperature Forecasting. IJCNN 2020: 1-8 - [i1]Jonathan Oakley, Lu Yu, Xingsi Zhong, Ganesh Kumar Venayagamoorthy, Richard R. Brooks:
Protocol Proxy: An FTE-based Covert Channel. CoRR abs/2002.10687 (2020)
2010 – 2019
- 2019
- [c143]Hasala Dharmawardena, Ganesh K. Venayagamoorthy
:
Cellular Computational Network for Distributed Power Flow Inferencing in Electric Distribution Systems. IJCNN 2019: 1-8 - [c142]Dulip Madurasinghe, Paranietharan Arunagirinathan, Ganesh K. Venayagamoorthy
:
Online Identification of Power System Network Branch Events. ISGT Europe 2019: 1-5 - [c141]Lili Wu, Ganesh K. Venayagamoorthy
, Jinfeng Gao:
Cellular Computational Networks for Distributed Prediction of Active Power Flow in Power Systems under Contingency. ISGT Europe 2019: 1-5 - [c140]Roberto Casado-Vara
, Fernando de la Prieta
, Sara Rodríguez, Inés Sittón, José Luís Calvo-Rolle
, Ganesh Kumar Venayagamoorthy
, Pastora Vega, Javier Prieto
:
Adaptive Fault-Tolerant Tracking Control Algorithm for IoT Systems: Smart Building Case Study. SOCO 2019: 481-490 - [c139]Matthew Haslett Leak, Ganesh Kumar Venayagamoorthy
, Paranietharan Arunagirinathan:
Optimal Power Flow in Distribution Scheme Using Load Forecast. SSCI 2019: 322-326 - 2018
- [j59]Guneet Bedi
, Ganesh Kumar Venayagamoorthy
, Rajendra Singh, Richard R. Brooks
, Kuang-Ching Wang:
Review of Internet of Things (IoT) in Electric Power and Energy Systems. IEEE Internet Things J. 5(2): 847-870 (2018) - [c138]Hasala Dharmawardena, Ali Arzani
, Ganesh K. Venayagamoorthy
:
Distributed voltage control for distribution feeder with photovoltaic systems. ISGT 2018: 1-8 - [c137]Chirath Pathiravasam, Ganesh K. Venayagamoorthy
:
Comparison of Learning Cellular Computational Networks with EKF and CPSO for Multi-Location Wind Speed Prediction. SSCI 2018: 897-904 - [c136]Iroshani Jayawardene, Raghavendra V. Kulkarni
, Ganesh Kumar Venayagamoorthy
:
CI-based Analytics for Photovoltaic Power Predictions and Tie-line Bias Control in Smart Grid. SSCI 2018: 1626-1633 - 2017
- [j58]Md. Ashfaqur Rahman, Ganesh Kumar Venayagamoorthy
:
A hybrid method for power system state estimation using Cellular Computational Network. Eng. Appl. Artif. Intell. 64: 140-151 (2017) - [j57]Yawei Wei
, Ganesh Kumar Venayagamoorthy
:
Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system. Neural Networks 93: 21-35 (2017) - [j56]Xingsi Zhong, Iroshani Jayawardene, Ganesh Kumar Venayagamoorthy
, Richard R. Brooks:
Denial of Service Attack on Tie-Line Bias Control in a Power System With PV Plant. IEEE Trans. Emerg. Top. Comput. Intell. 1(5): 375-390 (2017) - [c135]Amin Shokri Gazafroudi, Tiago Pinto
, Francisco Prieto Castrillo
, Javier Prieto
, Juan Manuel Corchado
, Aria Jozi
, Zita A. Vale
, Ganesh Kumar Venayagamoorthy
:
Organization-based Multi-Agent structure of the Smart Home Electricity System. CEC 2017: 1327-1334 - [c134]Komla A. Folly, Paul K. Olulope
, Ganesh K. Venayagamoorthy
:
Critical clearing time prediction using recurrent neural networks. IJCNN 2017: 3303-3309 - [c133]Iroshani Jayawardene, Ganesh K. Venayagamoorthy
:
Cellular computational extreme learning machine network based frequency predictions in a power system. IJCNN 2017: 3377-3384 - [c132]Md. Ashfaqur Rahman, Yawei Wei
, Ganesh Kumar Venayagamoorthy
:
Cellular computational generalized neuron network with cooperative PSO for power systems. IJCNN 2017: 4252-4258 - [c131]Paranietharan Arunagirinathan, Ganesh K. Venayagamoorthy
:
Situational awareness in an electric utility's control center of its generators' damping capabilities. ISGT 2017: 1-5 - [c130]Guneet Bedi, Ganesh Kumar Venayagamoorthy
, Rajendra Singh:
Pattern recognition for electric energy consumption prediction in a laboratory environment. SSCI 2017: 1-8 - [c129]Pramod Herath, Ganesh K. Venayagamoorthy
:
Multi-objective PSO for scheduling electricity consumption in a smart neighborhood. SSCI 2017: 1-6 - [c128]Iroshani Jayawardene, Yawei Wei
, Ganesh Kumar Venayagamoorthy
:
Optimized automatic generation control in a multi-area power system with particle swarm optimization. SSCI 2017: 1-8 - 2016
- [j55]Dipti Srinivasan
, Ganesh Kumar Venayagamoorthy
:
Guest Editorial Special Issue on "Neural Networks and Learning Systems Applications in Smart Grid". IEEE Trans. Neural Networks Learn. Syst. 27(8): 1601-1603 (2016) - [j54]Ganesh Kumar Venayagamoorthy
, Ratnesh K. Sharma, Prajwal K. Gautam, Afshin Ahmadi:
Dynamic Energy Management System for a Smart Microgrid. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1643-1656 (2016) - [c127]Yawei Wei
, Ganesh Kumar Venayagamoorthy
:
A lite cellular generalized neuron network for frequency prediction of synchronous generators in a multimachine power system. IJCNN 2016: 3085-3092 - [c126]Pramod Herath, Ganesh K. Venayagamoorthy
:
A service provider model for demand response management. SSCI 2016: 1-8 - [c125]Md. Ashfaqur Rahman, Ganesh Kumar Venayagamoorthy
:
Power system distributed dynamic state prediction. SSCI 2016: 1-7 - 2015
- [j53]Iroshani Jayawardene, Ganesh K. Venayagamoorthy
:
Reservoir based learning network for control of two-area power system with variable renewable generation. Neurocomputing 170: 428-438 (2015) - [c124]Xingsi Zhong, Paranietharan Arunagirinathan, Afshin Ahmadi, Richard R. Brooks
, Ganesh Kumar Venayagamoorthy
:
Side-Channels in Electric Power Synchrophasor Network Data Traffic. CISR 2015: 3:1-3:8 - [c123]Jing Dai, Ganesh K. Venayagamoorthy
, Ronald G. Harley, Yi Deng, Steve M. Potter:
Adaptive-critic-based control of a synchronous generator in a power system using biologically inspired artificial neural networks. IJCNN 2015: 1-8 - [c122]Iroshani Jayawardene, Ganesh K. Venayagamoorthy
:
Comparison of Adaptive Neuro-Fuzzy Inference Systems and Echo State Networks for PV Power Prediction. INNS Conference on Big Data 2015: 92-102 - [c121]Xingsi Zhong, Yu Fu, Lu Yu, Richard R. Brooks
, Ganesh Kumar Venayagamoorthy
:
Stealthy malware traffic - Not as innocent as it looks. MALWARE 2015: 110-116 - [c120]Yawei Wei
, Iroshani Jayawardene, Ganesh Kumar Venayagamoorthy
:
Frequency Prediction of Synchronous Generators in a Multi-Machine Power System with a Photovoltaic Plant Using a Cellular Computational Network. SSCI 2015: 673-678 - [c119]Mehdi Rahmani-Andebili, Ganesh K. Venayagamoorthy
:
Stochastic Optimization for Combined Economic and Emission Dispatch with Renewables. SSCI 2015: 1252-1258 - [c118]Ali Arzani
, Paranietharan Arunagirinathan, Ganesh Kumar Venayagamoorthy
:
Development of Optimal PI Controllers for a Grid-Tied Photovoltaic Inverter. SSCI 2015: 1272-1279 - [e1]Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis:
INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015. Procedia Computer Science 53, Elsevier 2015 [contents] - 2014
- [j52]Bipul Luitel, Ganesh Kumar Venayagamoorthy
:
Cellular computational networks - A scalable architecture for learning the dynamics of large networked systems. Neural Networks 50: 120-123 (2014) - [c117]Iroshani Jayawardene, Ganesh K. Venayagamoorthy
:
Comparison of echo state network and extreme learning machine for PV power prediction. CIASG 2014: 14-21 - [c116]Arman Goudarzi
, Innocent E. Davidson
, Afshin Ahmadi, Ganesh K. Venayagamoorthy
:
Intelligent analysis of wind turbine power curve models. CIASG 2014: 30-36 - [c115]Paranietharan Arunagirinathan, Hany A. Abdelsalam, Ganesh K. Venayagamoorthy
:
Remote power system stabilizer tuning using synchrophasor data. CIASG 2014: 147-153 - [c114]Ganesh Kumar Venayagamoorthy
, Priyam Chakravarty:
Optimal fuzzy logic based coordination controller for improved transient stability of a smart grid. FUZZ-IEEE 2014: 346-353 - [c113]Megan Milam, Ganesh Kumar Venayagamoorthy
:
Smart meter deployment: US initiatives. ISGT 2014: 1-5 - [c112]Parimal Saraf, Ganesh Kumar Venayagamoorthy
, Bipul Luitel:
Online oscillation monitoring of synchronous generators using Parallel-Prony analysis. ISGT 2014: 1-5 - [c111]Ke Tang, Ganesh K. Venayagamoorthy
:
Online coherency analysis of synchronous generators in a power system. ISGT 2014: 1-5 - 2013
- [j51]Ganesh Kumar Venayagamoorthy
, Jung-Wook Park
, Komla A. Folly
, Haibo He:
Guest Editorial Special Section on Computational Intelligence Applications in Smart Grid. IEEE Trans. Smart Grid 4(1): 445 (2013) - [j50]Diogenes Molina, Ganesh Kumar Venayagamoorthy
, Jiaqi Liang, Ronald G. Harley:
Intelligent Local Area Signals Based Damping of Power System Oscillations Using Virtual Generators and Approximate Dynamic Programming. IEEE Trans. Smart Grid 4(1): 498-508 (2013) - [c110]Karthikeyan Balasubramaniam, Ganesh Kumar Venayagamoorthy
, Neville Watson:
CNN based power system transient stability margin and voltage stability index prediction. CIASG 2013: 13-20 - [c109]Komla Agbenyo Folly
, Ganesh Kumar Venayagamoorthy
:
Power system controller design using multi-population PBIL. CIASG 2013: 37-43 - [c108]Prajwal K. Gautam, Ganesh K. Venayagamoorthy
:
Dynamic performance model of wind turbine generators. CIASG 2013: 101-106 - [c107]Bipul Luitel, Ganesh Kumar Venayagamoorthy
, Gabriel Oliveira:
Developing neural networks library in RSCAD for real-time power system simulation. CIASG 2013: 130-137 - [c106]David A. Cartes, Joe H. Chow, Dan McCaugherty, Steven E. Widergren, Ganesh Kumar Venayagamoorthy
:
The IEEE Computer Society Smart Grid Vision Project opens opportunites for computational intelligence. EAIS 2013: 144-150 - [c105]Karthikeyan Balasubramaniam, Ganesh Kumar Venayagamoorthy
, Neville Watson:
Cellular neural network based situational awareness system for power grids. IJCNN 2013: 1-8 - [c104]Phuong H. Nguyen, Wil L. Kling, Paulo F. Ribeiro, Ganesh K. Venayagamoorthy
, Roel Croes:
Role of Proactive Behaviour Enabled by Advanced Computational Intelligence and ICT in Smart Energy Grids. SMARTGREENS 2013: 82-87 - [p1]Bipul Luitel, Ganesh Kumar Venayagamoorthy
:
Iterative Design of FIR Filters. Advances in Heuristic Signal Processing and Applications 2013: 145-166 - 2012
- [j49]Ahmed Yousuf Saber, Ganesh Kumar Venayagamoorthy
:
Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles. IEEE Syst. J. 6(1): 103-109 (2012) - [j48]Chuan Yan, Ganesh Kumar Venayagamoorthy
, Keith A. Corzine:
AIS-Based Coordinated and Adaptive Control of Generator Excitation Systems for an Electric Ship. IEEE Trans. Ind. Electron. 59(8): 3102-3112 (2012) - [j47]Bipul Luitel, Ganesh Kumar Venayagamoorthy
:
Decentralized Asynchronous Learning in Cellular Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1755-1766 (2012) - [j46]Jiaqi Liang, Ganesh K. Venayagamoorthy
, Ronald G. Harley:
Wide-Area Measurement Based Dynamic Stochastic Optimal Power Flow Control for Smart Grids With High Variability and Uncertainty. IEEE Trans. Smart Grid 3(1): 59-69 (2012) - [c103]David Haynes, Steven M. Corns
, Ganesh Kumar Venayagamoorthy
:
An Exponential Moving Average algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c102]Karthikeyan Balasubramaniam, Bipul Luitel, Ganesh Kumar Venayagamoorthy
:
A scalable wide area monitoring system using cellular neural networks. IJCNN 2012: 1-8 - [c101]Jing Dai, Ganesh Kumar Venayagamoorthy
, Ronald G. Harley, Steve M. Potter:
Reservoir-computing-based, biologically-inspired artificial neural network for modeling of a single machine infinite bus power system. IJCNN 2012: 1-8 - 2011
- [j45]Ganesh K. Venayagamoorthy
:
Dynamic, Stochastic, Computational, and Scalable Technologies for Smart Grids. IEEE Comput. Intell. Mag. 6(3): 22-35 (2011) - [j44]Raghavendra V. Kulkarni
, Anna Förster
, Ganesh Kumar Venayagamoorthy
:
Computational Intelligence in Wireless Sensor Networks: A Survey. IEEE Commun. Surv. Tutorials 13(1): 68-96 (2011) - [j43]Ahmed Yousuf Saber, Ganesh K. Venayagamoorthy
:
Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions. IEEE Trans. Ind. Electron. 58(4): 1229-1238 (2011) - [j42]Pinaki Mitra, Ganesh K. Venayagamoorthy
, Keith A. Corzine:
SmartPark as a Virtual STATCOM. IEEE Trans. Smart Grid 2(3): 445-455 (2011) - [j41]Raghavendra V. Kulkarni
, Ganesh K. Venayagamoorthy
:
Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey. IEEE Trans. Syst. Man Cybern. Part C 41(2): 262-267 (2011) - [c100]Jiaqi Liang, Ronald G. Harley, Ganesh K. Venayagamoorthy
:
Adaptive critic design based dynamic optimal power flow controller for a smart grid. CIASG 2011: 17-24 - [c99]Bipul Luitel, Ganesh K. Venayagamoorthy
:
Wide area monitoring in power systems using cellular neural networks. CIASG 2011: 96-103 - [c98]Diogenes Molina, Jiaqi Liang, Ronald G. Harley, Ganesh K. Venayagamoorthy
:
Comparison of TDNN and RNN performances for neuro-identification on small to medium-sized power systems. CIASG 2011: 109-116 - [c97]Chuan Yan, Ganesh K. Venayagamoorthy
, Keith A. Corzine:
Optimal location and sizing of energy storage modules for a smart electric ship power system. CIASG 2011: 123-130 - [c96]Robert L. Ortman, Ganesh Kumar Venayagamoorthy
, Steve M. Potter:
Input Separability in Living Liquid State Machines. ICANNGA (1) 2011: 220-229 - [c95]Daniel M. Riley, Ganesh K. Venayagamoorthy
:
Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network. IJCNN 2011: 1761-1766 - [c94]Cameron Johnson, Sinchan Roychowdhury, Ganesh Kumar Venayagamoorthy
:
A reversibility analysis of encoding methods for spiking neural networks. IJCNN 2011: 1802-1809 - 2010
- [j40]Ganesh K. Venayagamoorthy
, Richard L. Welch:
Energy dispatch controllers for a photovoltaic system. Eng. Appl. Artif. Intell. 23(2): 249-261 (2010) - [j39]Bipul Luitel, Ganesh K. Venayagamoorthy
:
Particle swarm optimization with quantum infusion for system identification. Eng. Appl. Artif. Intell. 23(5): 635-649 (2010) - [j38]Yusuf Yare, Ganesh K. Venayagamoorthy
:
Optimal maintenance scheduling of generators using multiple swarms-MDPSO framework. Eng. Appl. Artif. Intell. 23(6): 895-910 (2010) - [j37]Xindi Cai, Ganesh K. Venayagamoorthy
, Donald C. Wunsch II:
Evolutionary swarm neural network game engine for Capture Go. Neural Networks 23(2): 295-305 (2010) - [j36]Bipul Luitel, Ganesh K. Venayagamoorthy
:
Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems. Neural Networks 23(5): 583-586 (2010) - [j35]Raghavendra V. Kulkarni
, Ganesh K. Venayagamoorthy
:
Adaptive critics for dynamic optimization. Neural Networks 23(5): 587-591 (2010) - [j34]Christopher Potter, Ganesh K. Venayagamoorthy
, Kurt L. Kosbar:
RNN based MIMO channel prediction. Signal Process. 90(2): 440-450 (2010) - [j33]Ahmed Yousuf Saber, Ganesh K. Venayagamoorthy
:
Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems. IEEE Syst. J. 4(3): 285-294 (2010) - [j32]Raghavendra V. Kulkarni
, Ganesh K. Venayagamoorthy
:
Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes. IEEE Trans. Syst. Man Cybern. Part C 40(6): 663-675 (2010) - [c93]István Erlich, Ganesh K. Venayagamoorthy
, Nakawiro Worawat:
A Mean-Variance Optimization algorithm. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c92]Komla A. Folly
, Ganesh K. Venayagamoorthy
:
Performance evaluation of a PBIL-based power system damping controller. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c91]Ejike Anene, Ganesh Kumar Venayagamoorthy
:
PSO Tuned Flatness Based Control of a Magnetic Levitation System. IAS 2010: 1-5 - [c90]Pinaki Mitra, Ganesh Kumar Venayagamoorthy
:
Intelligent Coordinated Control of a Wind Farm and Distributed Smartparks. IAS 2010: 1-8 - [c89]Cameron Johnson, Ganesh K. Venayagamoorthy
:
Encoding real values into polychronous spiking networks. IJCNN 2010: 1-7 - [c88]Jiaqi Liang, Jing Dai, Ganesh K. Venayagamoorthy
, Ronald G. Harley:
Dynamic system eigenvalue extraction using a linear echo state network for small-signal stability analysis - a novel application. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j31]Ganesh K. Venayagamoorthy
:
A successful interdisciplinary course on coputational intelligence. IEEE Comput. Intell. Mag. 4(1): 14-23 (2009) - [j30]Ganesh K. Venayagamoorthy
:
Conference report: 2008 IEEE Swarm Intelligence Symposium (SIS 2008). IEEE Comput. Intell. Mag. 4(2): 20-21 (2009) - [j29]Ganesh K. Venayagamoorthy
, Lisa L. Grant, Sheetal Doctor:
Collective robotic search using hybrid techniques: Fuzzy logic and swarm intelligence inspired by nature. Eng. Appl. Artif. Intell. 22(3): 431-441 (2009) - [j28]Swakshar Ray, Ganesh K. Venayagamoorthy
:
A wide area measurement based neurocontrol for generation excitation systems. Eng. Appl. Artif. Intell. 22(3): 473-481 (2009) - [j27]Robert Kozma
, Steven L. Bressler, Leonid I. Perlovsky, Ganesh K. Venayagamoorthy
:
Advances in neural networks research: An introduction. Neural Networks 22(5-6): 489-490 (2009) - [j26]Cameron Johnson, Ganesh K. Venayagamoorthy
, Pinaki Mitra:
Comparison of a spiking neural network and an MLP for robust identification of generator dynamics in a multimachine power system. Neural Networks 22(5-6): 833-841 (2009) - [j25]Ganesh K. Venayagamoorthy
, Shishir Bashyal:
Effects of spectral radius and settling time in the performance of echo state networks. Neural Networks 22(7): 861-863 (2009) - [j24]Raghavendra V. Kulkarni
, Ganesh K. Venayagamoorthy
:
Generalized neuron: Feedforward and recurrent architectures. Neural Networks 22(7): 1011-1017 (2009) - [c87]Parviz Palangpour, Ganesh K. Venayagamoorthy, Scott C. Smith:
Particle Swarm Optimization: A Hardware Implementation. CDES 2009: 134-139 - [c86]Ryan Cleaver, Ganesh Kumar Venayagamoorthy
:
Learning functions generated by randomly initialized MLPs and SRNs. CICA 2009: 62-69 - [c85]Ganesh K. Venayagamoorthy:
Tutorial CICA-T Computing with intelligence for identification and control of nonlinear systems. CICA 2009