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Volumn , Issue , 2008, Pages 293-300

Stabilizing and improving the learning speed of 2-layered LSTM network

Author keywords

[No Author keywords available]

Indexed keywords

SPEED; TWO DIMENSIONAL;

EID: 51849149899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2008.32     Document Type: Conference Paper
Times cited : (1)

References (14)
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    • (2005) , vol.18 , pp. 602-610
    • Gaves, A.1    Schmidhuber, J.2
  • 3
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    • Gradient calculations for dynamic recurrent neural networks: A survey
    • B. A. Pearlmutter, "Gradient calculations for dynamic recurrent neural networks: A survey." IEEE Transactions on Neural Network, 6(5), 1212-1228, 1995.
    • (1995) IEEE Transactions on Neural Network , vol.6 , Issue.5 , pp. 1212-1228
    • Pearlmutter, B.A.1
  • 5
    • 0025536870 scopus 로고
    • Improving the learning speed of 2-layer neural networks by choosing initial values of adaptive weights
    • D. Nguyen, B. Widrow, "Improving the learning speed of 2-layer neural networks by choosing initial values of adaptive weights," in Proc. IJCNN, vol. 3, pp. 21-26, 1990.
    • (1990) Proc. IJCNN , vol.3 , pp. 21-26
    • Nguyen, D.1    Widrow, B.2
  • 8
    • 33748574514 scopus 로고    scopus 로고
    • Recurrent Neural Networks for Music Computation
    • J. A. Franklin, "Recurrent Neural Networks for Music Computation", Informs Journal on Computing, Vol.18, No.3, pp.321-338, 2006.
    • (2006) Informs Journal on Computing , vol.18 , Issue.3 , pp. 321-338
    • Franklin, J.A.1
  • 9
    • 0038764011 scopus 로고    scopus 로고
    • Kalman Filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
    • J. A. Pérez -Ortiz, F. A. Gers, D. Eck, J.Schmidhuber , "Kalman Filters improve LSTM network performance in problems unsolvable by traditional recurrent nets." Neural Networks, vol. 16, issue 2, p. 241-250, 2003.
    • (2003) Neural Networks , vol.16 , Issue.2 , pp. 241-250
    • Pérez -Ortiz, J.A.1    Gers, F.A.2    Eck, D.3    Schmidhuber, J.4
  • 11
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    • Generalization of backpropagation with application to a recurrent gas market model
    • P. J. Werbos, "Generalization of backpropagation with application to a recurrent gas market model." Neural Networks, 1, 339-356, 1988.
    • (1988) Neural Networks , vol.1 , pp. 339-356
    • Werbos, P.J.1
  • 12
    • 0001765578 scopus 로고
    • Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity
    • Hillsdale, NJ: Erlbaum
    • R. J. Williams and D. Zipser, "Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity." In Back-propagation:Theory, Architectures and Applications. Hillsdale, NJ: Erlbaum, 1992.
    • (1992) Back-propagation:Theory, Architectures and Applications
    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.