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Volumn 5, Issue 3, 1992, Pages 473-484

Learning a trajectory using adjoint functions and teacher forcing

Author keywords

Adjoint operators; Recurrent networks; Teacher forcing; Temporal learning; Trajectory learning

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL TECHNIQUES - ALGORITHMS;

EID: 0026685372     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(92)90009-8     Document Type: Article
Times cited : (55)

References (21)
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    • The construction of arbitrary stable dynamics in nonlinear neural networks
    • (1992) Neural Networks , vol.5 , Issue.1 , pp. 83-104
    • Cohen1
  • 6
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    • Convergent activation dynamics in continuous time networks
    • (1989) Neural Networks , vol.2 , Issue.5 , pp. 331-349
    • Hirsch1
  • 10
    • 84911617594 scopus 로고    scopus 로고
    • Parlos, A. G., et al. (in press). Dynamic learning in recurrent neural networks for nonlinear system identification.
  • 15
    • 0025020623 scopus 로고
    • A real time learning algorithm for recurrent analog neural networks
    • (1990) Biological Cybernetics , vol.62 , Issue.3 , pp. 237-242
    • Sato1
  • 21
    • 0024861150 scopus 로고
    • Terminal attractors in neural networks
    • (1989) Neural Networks , vol.2 , Issue.4 , pp. 259-274
    • Zak1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.