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Volumn 1327, Issue , 1997, Pages 428-432

An extended elman net for modeling time series

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; TIME SERIES;

EID: 84956686283     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020192     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 1
    • 26444565569 scopus 로고
    • Finding structure in time
    • J. Elman. Finding structure in time. Cognitive Science, 14:179-211, 1990.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.1
  • 2
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • R. J. Williams. A learning algorithm for continually running fully recurrent neural networks. Neural Computation, 1:270-280, 1989.
    • (1989) Neural Computation , vol.1 , pp. 270-280
    • Williams, R.J.1
  • 3
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H White. Multilayer feedforward networks are universal approximators. Neural Networks, 2:359-366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 6
    • 0027636611 scopus 로고
    • Learning and development in neural networks: The importance of starting small
    • J. Elman. Learning and development in neural networks: the importance of starting small. Cognition, 48:71 - 99, 1993.
    • (1993) Cognition, 48:71 - , pp. 99
    • Elman, J.1
  • 8
  • 9
    • 0000241853 scopus 로고
    • Deterministic nonperiodic flow
    • E.N. Lorenz. Deterministic nonperiodic flow. J. Athmospheric Sci., 20:130-141, 1963.
    • (1963) J. Athmospheric Sci , vol.20 , pp. 130-141
    • Lorenz, E.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.