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Volumn , Issue , 2007, Pages 9-15

Combined training of recurrent neural networks with particle swarm optimization and backpropagation algorithms for impedance identification

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION ALGORITHMS; DYNAMIC PROGRAMMING; ERROR ANALYSIS; PROBLEM SOLVING; TABU SEARCH;

EID: 34548719926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2007.368020     Document Type: Conference Paper
Times cited : (24)

References (17)
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  • 2
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    • Chen, C.1    Chen, T.2
  • 3
    • 34047160114 scopus 로고    scopus 로고
    • Recurrent Neural Network for Induction Motor Speed Estimation in Industry Applications
    • August
    • Goedtel, A., daSilva, I.N., and Amaral Serni, P.J., "Recurrent Neural Network for Induction Motor Speed Estimation in Industry Applications", IEEE MELECON 2006., pages 1134-1137, August 2006
    • (2006) IEEE MELECON 2006 , pp. 1134-1137
    • Goedtel, A.1    daSilva, I.N.2    Amaral Serni, P.J.3
  • 7
    • 0027683141 scopus 로고
    • Training product unit neural networks with genetic algorithms
    • Oct
    • Janson, D.J. and Frenzel, J.F., "Training product unit neural networks with genetic algorithms", IEEE Intelligent Systems and Their Applications, volume 8, issue 5, pages 26-33, Oct. 1993
    • (1993) IEEE Intelligent Systems and Their Applications , vol.8 , Issue.5 , pp. 26-33
    • Janson, D.J.1    Frenzel, J.F.2
  • 8
    • 0036531527 scopus 로고    scopus 로고
    • Evolution-based design of neural fuzzy networks using self-adapting genetic parameters
    • April
    • Alpaydin, G., Dundar, G. and Balkir, S., "Evolution-based design of neural fuzzy networks using self-adapting genetic parameters", IEEE Transactions on Fuzzy Systems, volume 10, issue 2, pages 211-221, April 2002
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.2 , pp. 211-221
    • Alpaydin, G.1    Dundar, G.2    Balkir, S.3
  • 11
    • 84942134374 scopus 로고    scopus 로고
    • Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks
    • April
    • Gudise, V.G. and Venayagamoorthy, G.K, "Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks", IEEE Swarm Intelligence Symposium, pages 110-117, April 2003
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    • Gudise, V.G.1    Venayagamoorthy, G.K.2
  • 12
    • 33746351362 scopus 로고    scopus 로고
    • Constant power loads and negative impedance instability in automotive systems: Definition, modeling, stability, and control of power electronic converters and motor drives
    • Pages:, July
    • Emadi, A., Khaligh, A., Rivetta, C.H., et. al., "Constant power loads and negative impedance instability in automotive systems: definition, modeling, stability, and control of power electronic converters and motor drives", IEEE Transactions on Vehicular Technology, Volume 55, Issue 4, Pages:1112-1125, July 2006
    • (2006) IEEE Transactions on Vehicular Technology , vol.55 , Issue.4 , pp. 1112-1125
    • Emadi, A.1    Khaligh, A.2    Rivetta, C.H.3    et., al.4
  • 13
    • 0003042842 scopus 로고
    • Input filter considerations in design and application of switching regulators
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    • Middlebrook, R. D., "Input filter considerations in design and application of switching regulators", IEEE Proceedings of IASAM, October 1976
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  • 14
    • 84944979946 scopus 로고
    • A method of defining the load impedance specification for a stable distributed power system
    • Pages:, May
    • Wildrick, C.M., Lee, F.C., Cho, B.H., et. al., "A method of defining the load impedance specification for a stable distributed power system", IEEE Transactions on Power Electronics, Volume 10, Issue 3, Pages: 280-285, May 1995
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    • Sudhoff, S.D., Glover, S.F., Lamm, P.T., et. al., Admittance space stability analysis of power electronic systems, IEEE Transactions on Aerospace and Electronic Systems, 36. Issue 3, Part 1, Pages:965-973, July 2000
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    • Yam, J.Y.F. and Chow, T.W.S., "Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients", IEEE Transactions on Neural Networks, volume 12, issue 2, pages 430-434, March 2001
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.