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Volumn , Issue , 2004, Pages 379-384

A new modified network based on the Elman network

Author keywords

Back propagation; Elman Network; Long sequence task; Real time recurrent learning; Simple recurrent networks

Indexed keywords

BACKPROPAGATION; ERROR ANALYSIS; INFORMATION ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PROBLEM SOLVING;

EID: 11144281838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 2
    • 0033083238 scopus 로고    scopus 로고
    • A conjugate gradient learning algorithm for recurrent neural networks
    • Feb.
    • W.F. Chang and M.W. Mak, 'A conjugate gradient learning algorithm for recurrent neural networks', Neurocomputing, Vol. 24, pp(13-36), (Feb. 1999).
    • (1999) Neurocomputing , vol.24 , pp. 13-36
    • Chang, W.F.1    Mak, M.W.2
  • 4
    • 26444565569 scopus 로고
    • Finding structure in time
    • J.L. Elman, 'Finding structure in time', Cognitive Science, 14(2), 179-211, (1990).
    • (1990) Cognitive Science , vol.14 , Issue.2 , pp. 179-211
    • Elman, J.L.1
  • 5
    • 0001765578 scopus 로고
    • Gradient-based learning algorithms for recurrent networks and their computational complexity
    • eds., Y. Chauvin and D. E. Rumelhart, chapter 13, Lawrence Erlbaum Publishers, Hillsdale, N.J.
    • R.J.Williams and D. Zipser, 'Gradient-based learning algorithms for recurrent networks and their computational complexity', in Back-propagation: Theory, Architectures and Applications, eds., Y. Chauvin and D. E. Rumelhart, chapter 13, 433-486, Lawrence Erlbaum Publishers, Hillsdale, N.J., (1995).
    • (1995) Back-propagation: Theory, Architectures and Applications , pp. 433-486
    • Williams, R.J.1    Zipser, D.2
  • 6
    • 0025503558 scopus 로고
    • Back-propagation through time: What it does and how to do it
    • P. J. Werbos, 'Back-propagation through time: what it does and how to do it', in Proceedings of the IEEE, volume 78, pp. 1550-1560, (1990).
    • (1990) Proceedings of the IEEE , vol.78 , pp. 1550-1560
    • Werbos, P.J.1
  • 7
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • R.J. Williams and D. Zipser, 'A learning algorithm for continually running fully recurrent neural networks', Neural Computation, 1(2), 270-280, (1989).
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.