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Volumn 4131 LNCS - I, Issue , 2006, Pages 244-253

Error entropy minimization for LSTM training

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ENTROPY; ERRORS; NEURAL NETWORKS; OPTIMIZATION;

EID: 33749837658     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840817_26     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 2
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: Continual prediction with LSTM
    • Gers, F., Schmidhuber, J., Cummins, F.: Learning to forget: Continual prediction with LSTM. Neural Computation 12(10) (2000) 2451-2471
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.1    Schmidhuber, J.2    Cummins, F.3
  • 4
    • 0038764011 scopus 로고    scopus 로고
    • Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
    • Pérez-Ortiz, J., Gers, F., Eck, D., Schmidhuber, J.: Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks 16(2) (2003) 241-250
    • (2003) Neural Networks , vol.16 , Issue.2 , pp. 241-250
    • Pérez-Ortiz, J.1    Gers, F.2    Eck, D.3    Schmidhuber, J.4
  • 6
    • 0036647905 scopus 로고    scopus 로고
    • An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems
    • Erdogmus., D., Principe, J.: An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems. IEEE Trans. Signal Processing 50(7) (2002) 1780-1786
    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.7 , pp. 1780-1786
    • Erdogmus, D.1    Principe, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.