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Volumn 22, Issue 6, 2006, Pages 1555-1568

Elman network with embedded memory for system identification

Author keywords

Dynamic system identification; Elman network; Embedded memory; Jordan network; Multi system identification

Indexed keywords

DATA STORAGE EQUIPMENT; EMBEDDED SYSTEMS; NONLINEAR SYSTEMS; RECURRENT NEURAL NETWORKS;

EID: 33751544830     PISSN: 10162364     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (39)

References (27)
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    • Pham, D.T.1    Liu, X.2
  • 3
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  • 7
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    • Training Elman and Jordan networks for system identification using genetic algorithms
    • D. T. Pham and D. Karaboga, "Training Elman and Jordan networks for system identification using genetic algorithms," Artificial Intelligence in Engineering, Vol. 13, 1999, pp. 107-117.
    • (1999) Artificial Intelligence in Engineering , vol.13 , pp. 107-117
    • Pham, D.T.1    Karaboga, D.2
  • 9
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    • Finding structure in time
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    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 10
    • 0001887517 scopus 로고
    • Attractor dynamics and parallelism in a connectionsist sequential machine
    • M. I. Jordan, "Attractor dynamics and parallelism in a connectionsist sequential machine," in Proceedings of the 8th Conference on Cognitive Science, 1986, pp. 531-546.
    • (1986) Proceedings of the 8th Conference on Cognitive Science , pp. 531-546
    • Jordan, M.I.1
  • 11
    • 3142710709 scopus 로고
    • Ph.D. Thesis, Department of System Engineering, University of Wales College of Cardiff, Cardiff, UK
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    • (1993) Modelling and Prediction using Neural Networks
    • Liu, X.1
  • 12
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    • Kalinli, A.1    Karaboga, D.2
  • 16
    • 0030082425 scopus 로고    scopus 로고
    • Training of Elman networks and dynamic system modelling
    • D. T. Pham and X. Liu, "Training of Elman networks and dynamic system modelling," International Journal of Systems Science, Vol. 27, 1996, pp. 221-226.
    • (1996) International Journal of Systems Science , vol.27 , pp. 221-226
    • Pham, D.T.1    Liu, X.2
  • 23
    • 0003070365 scopus 로고
    • A recurrent back propagation neural network for dynamic system identification
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    • Pham, D.T.1    Oh, S.J.2
  • 24
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    • Learning long-term dependencies is not as difficult with NARX recurrent neural networks
    • MIT Press, Cambridge, MA
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    • (1996) Advances in Neural Information Processing Systems , vol.8
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  • 25
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    • How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
    • T. Lui, B. G Horne, and C. L. Giles, "How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies," Neural Networks, Vol. 11, 1998, pp. 861-868.
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    • Lui, T.1    Horne, B.G.2    Giles, C.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.