메뉴 건너뛰기




Volumn , Issue , 1995, Pages 743-749

Forward-backward retraining of recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; HIDDEN MARKOV MODELS;

EID: 85156213225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (7)
  • 2
    • 0022594196 scopus 로고
    • An introduction to hidden Markov models
    • RABENER, L. R. and JUANG, B. H. (1986) An introduction to hidden Markov models. IEEE ASSP magazine 3 (1): 4-16
    • (1986) IEEE ASSP magazine , vol.3 , Issue.1 , pp. 4-16
    • RABENER, L. R.1    JUANG, B. H.2
  • 3
    • 0028392167 scopus 로고
    • The application of recurrent nets to phone probability estimation
    • ROBINSON, A. (1994) The application of recurrent nets to phone probability estimation. IEEE Transactions on Neural Networks.
    • (1994) IEEE Transactions on Neural Networks
    • ROBINSON, A.1
  • 5
    • 0029023603 scopus 로고
    • Recurrent neural networks can be trained to be maximum a posteriori probability classifiers
    • SANTINI, S. and DEL BIMBO, A. (1995) Recurrent neural networks can be trained to be maximum a posteriori probability classifiers. Neural Networks 8 (1): 25-29.
    • (1995) Neural Networks , vol.8 , Issue.1 , pp. 25-29
    • SANTINI, S.1    DEL BIMBO, A.2
  • 7
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • WBRBOS, P. J. (1990) Backpropagation through time: What it does and how to do it. Proceedings of the IEEE 78: 1550-60.
    • (1990) Proceedings of the IEEE , vol.78 , pp. 1550-1560
    • WBRBOS, P. J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.