Ganesh Kumar Venayagamoorthy
Title | Named Professor |
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Institution | Clemson University |
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Department | Holcombe Department of Electrical and Computer Engineering |
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Address | 105 Riggs Hall Clemson, South Carolina 29634
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vCard | Download vCard |
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Bibliographic
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media.
(Note that publications are often cited in additional ways that are not shown here.)
Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication.
Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication.
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Wei Y, Venayagamoorthy GK, Wei Y, Venayagamoorthy GK. Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system. Neural Netw. 2017 Sep; 93:21-35.
PMID: 28527861.
Citations:
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Venayagamoorthy GK, Sharma RK, Gautam PK, Ahmadi A, Venayagamoorthy GK, Sharma RK, Gautam PK, Ahmadi A. Dynamic Energy Management System for a Smart Microgrid. IEEE Trans Neural Netw Learn Syst. 2016 08; 27(8):1643-56.
PMID: 26800554.
Citations:
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Luitel B, Venayagamoorthy GK, Luitel B, Venayagamoorthy GK. Cellular computational networks--a scalable architecture for learning the dynamics of large networked systems. Neural Netw. 2014 Feb; 50:120-3.
PMID: 24300549.
Citations:
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Luitel B, Venayagamoorthy GK, Luitel B, Venayagamoorthy GK. Decentralized asynchronous learning in cellular neural networks. IEEE Trans Neural Netw Learn Syst. 2012 Nov; 23(11):1755-66.
PMID: 24808070.
Citations:
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Kulkarni RV, Venayagamoorthy GK, Kulkarni RV, Venayagamoorthy GK. Adaptive critics for dynamic optimization. Neural Netw. 2010 Jun; 23(5):587-91.
PMID: 20223635.
Citations:
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Luitel B, Venayagamoorthy GK, Luitel B, Venayagamoorthy GK. Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems. Neural Netw. 2010 Jun; 23(5):583-6.
PMID: 20071140.
Citations:
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Cai X, Venayagamoorthy GK, Wunsch DC, Cai X, Venayagamoorthy GK, Wunsch DC. Evolutionary swarm neural network game engine for Capture Go. Neural Netw. 2010 Mar; 23(2):295-305.
PMID: 20005671.
Citations:
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Kulkarni RV, Venayagamoorthy GK, Kulkarni RV, Venayagamoorthy GK. Generalized neuron: feedforward and recurrent architectures. Neural Netw. 2009 Sep; 22(7):1011-7.
PMID: 19660907.
Citations:
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Kozma R, Bressler S, Perlovsky L, Venayagamoorthy GK, Kozma R, Bressler S, Perlovsky L, Venayagamoorthy GK. Advances in neural networks research: an introduction. Neural Netw. 2009 Jul-Aug; 22(5-6):489-90.
PMID: 19632811.
Citations:
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Johnson C, Venayagamoorthy GK, Mitra P, Johnson C, Venayagamoorthy GK, Mitra P. Comparison of a spiking neural network and an MLP for robust identification of generator dynamics in a multimachine power system. Neural Netw. 2009 Jul-Aug; 22(5-6):833-41.
PMID: 19616408.
Citations:
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Venayagamoorthy GK, Shishir B, Venayagamoorthy GK, Shishir B. Effects of spectral radius and settling time in the performance of echo state networks. Neural Netw. 2009 Sep; 22(7):861-3.
PMID: 19423285.
Citations:
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Ray S, Venayagamoorthy GK, Chaudhuri B, Majumder R, Ray S, Venayagamoorthy GK, Chaudhuri B, Majumder R. Comparison of adaptive critic-based and classical wide-area controllers for power systems. IEEE Trans Syst Man Cybern B Cybern. 2008 Aug; 38(4):1002-7.
PMID: 18632391.
Citations:
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Qiao W, Venayagamoorthy GK, Harley RG, Qiao W, Venayagamoorthy GK, Harley RG. Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and multiple FACTS devices. Neural Netw. 2008 Mar-Apr; 21(2-3):466-75.
PMID: 18206349.
Citations:
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Xu R, Venayagamoorthy GK, Wunsch DC, Xu R, Venayagamoorthy GK, Wunsch DC. Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization. Neural Netw. 2007 Oct; 20(8):917-27.
PMID: 17714912.
Citations:
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Venayagamoorthy GK, Venayagamoorthy GK. Online design of an echo state network based wide area monitor for a multimachine power system. Neural Netw. 2007 Apr; 20(3):404-13.
PMID: 17513088.
Citations:
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Moore PW, Venayagamoorthy GK, Moore PW, Venayagamoorthy GK. Evolving digital circuits using hybrid particle swarm optimization and differential evolution. Int J Neural Syst. 2006 Jun; 16(3):163-77.
PMID: 17044238.
Citations:
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Park JW, Harley RG, Venayagamoorthy GK, Park JW, Harley RG, Venayagamoorthy GK. Indirect adaptive control for synchronous generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis. IEEE Trans Neural Netw. 2004 Mar; 15(2):460-4.
PMID: 15384538.
Citations:
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Liu W, Venayagamoorthy GK, Wunsch DC, Liu W, Venayagamoorthy GK, Wunsch DC. Design of an adaptive neural network based power system stabilizer. Neural Netw. 2003 Jun-Jul; 16(5-6):891-8.
PMID: 12850048.
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Park JW, Harley RG, Venayagamoorthy GK, Park JW, Harley RG, Venayagamoorthy GK. New internal optimal neurocontrol for a series FACTS device in a power transmission line. Neural Netw. 2003 Jun-Jul; 16(5-6):881-90.
PMID: 12850047.
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Venayagamoorthy GK, Harley RG, Wunsch DC, Venayagamoorthy GK, Harley RG, Wunsch DC. Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system. IEEE Trans Neural Netw. 2003; 14(5):1047-64.
PMID: 18244559.
Citations:
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Venayagamoorthy GK, Harley RG, Wunsch DC, Venayagamoorthy GK, Harley RG, Wunsch DC. Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator. IEEE Trans Neural Netw. 2002; 13(3):764-73.
PMID: 18244473.
Citations:
This graph shows the total number of publications by year. To see the data as text,
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Year | Publications |
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2002 | 1 |
2003 | 3 |
2004 | 1 |
2006 | 1 |
2007 | 2 |
2008 | 2 |
2009 | 5 |
2010 | 2 |
2012 | 1 |
2013 | 1 |
2016 | 1 |
2017 | 1 |
This graph shows the number and percent of publications by field.
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Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
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This graph shows the number and percent of publications by field.
Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications.
Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written.
To see the data as text,
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