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Volumn 4, Issue , 1992, Pages 241-246

Training Recurrent Networks Using the Extended Kalman Filter

Author keywords

[No Author keywords available]

Indexed keywords

RECURRENT NEURAL NETWORKS;

EID: 85132302281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.1992.227335     Document Type: Conference Paper
Times cited : (98)

References (18)
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    • Unpublished master's thesis. University of Massachusetts, Amherst, Department of Computer and Information Science
    • Bachrach, J. (1988). Learning to represent slate. Unpublished master's thesis. University of Massachusetts, Amherst, Department of Computer and Information Science.
    • (1988) Learning to represent slate
    • Bachrach, J.1
  • 4
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14, 179-211.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 6
    • 0000838510 scopus 로고
    • Neural network nonlinear adaptive filtering using the extended Kalman filter algorithm
    • July, 1990, Paris
    • Matthews, M. B. (1990). Neural network nonlinear adaptive filtering using the extended Kalman filter algorithm. Proceedings of the International Neural Networks Conference, July, 1990, Paris, vol. I, pp. 115-119.
    • (1990) Proceedings of the International Neural Networks Conference , vol.1 , pp. 115-119
    • Matthews, M.B.1
  • 8
  • 11
    • 57349116227 scopus 로고
    • The "moving targets" training algorithm
    • Sesimbra, Portugal, 15-17 Feb. 1990, L. B. Almeida and C. J. Wellekens, Eds., Lecture Notes in Computer Science, series Eds. G. Goos and J. Hartmanis, Springer-Verlag
    • Rohwer, R. (1990). The "moving targets" training algorithm. Proceedings of the EURASIP Workshop on Neural Networks, Sesimbra, Portugal, 15-17 Feb. 1990, L. B. Almeida and C. J. Wellekens, Eds., Lecture Notes in Computer Science v. 412, p. 100, series Eds. G. Goos and J. Hartmanis, Springer-Verlag.
    • (1990) Proceedings of the EURASIP Workshop on Neural Networks , vol.412 , pp. 100
    • Rohwer, R.1
  • 12
    • 0000221272 scopus 로고
    • Training multilayer perceptrons with the extended Kalman filter algorithm
    • D. S. Touretzky, Ed, San Mateo, CA: Morgan Kaufmann
    • Singhal, S. & Wu, L. (1989). Training multilayer perceptrons with the extended Kalman filter algorithm. In D. S. Touretzky, Ed. Advances in Neural Information Processing Systems, 1, 133-140. San Mateo, CA: Morgan Kaufmann.
    • (1989) Advances in Neural Information Processing Systems, 1 , pp. 133-140
    • Singhal, S.1    Wu, L.2
  • 15
    • 0001609567 scopus 로고
    • An efficient gradient-based algorithm for on-line training of recurrent network trajectories
    • Williams, R. J. & Peng, J. (1990). An efficient gradient-based algorithm for on-line training of recurrent network trajectories. Neural Computation, 2, 490-501.
    • (1990) Neural Computation , vol.2 , pp. 490-501
    • Williams, R.J.1    Peng, J.2
  • 16
    • 0003066062 scopus 로고
    • Experimental analysis of the real-time recurrent learning algorithm
    • Williams, R. J., & Zipser, D. (1989). Experimental analysis of the real-time recurrent learning algorithm. Connection Science, 1, 87-111.
    • (1989) Connection Science , vol.1 , pp. 87-111
    • Williams, R.J.1    Zipser, D.2
  • 18
    • 0012061123 scopus 로고
    • A subgrouping strategy that reduces complexity and speeds up learning in recurrent networks
    • Zipser, D. (1989). A subgrouping strategy that reduces complexity and speeds up learning in recurrent networks. Neural Computation, 1, 552-558.
    • (1989) Neural Computation , vol.1 , pp. 552-558
    • Zipser, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.