메뉴 건너뛰기




Volumn 3, Issue , 2015, Pages 2067-2075

Gated feedback recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE; LEARNING SYSTEMS; MODELING LANGUAGES; RECONFIGURABLE HARDWARE;

EID: 84969972350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (729)

References (25)
  • 3
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Bengio, Yoshua, Simard, Patrice, and Frasconi, Paolo. Learning long-term dependencies with gradient descent is difficult. IEEE Transactions on Neural Networks, 5 (2): 157-166, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 6
    • 85057230110 scopus 로고
    • Hierarchical recurrent neural networks for long-term dependencies
    • Citeseer
    • El Hihi, Salah and Bengio, Yoshua. Hierarchical recurrent neural networks for long-term dependencies. In Advances in Neural Information Processing Systems, pp. 493-499. Citeseer, 1995.
    • (1995) Advances in Neural Information Processing Systems , pp. 493-499
    • El Hihi, S.1    Bengio, Y.2
  • 7
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: Continual prediction with LSTM
    • Gers, Felix A., Schmidhuber, Jürgen, and Cummins, Fred A. Learning to forget: Continual prediction with LSTM. Neural Computation, 12(10):2451-2471, 2000.
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.A.1    Schmidhuber, J.2    Cummins, F.A.3
  • 12
    • 0003575034 scopus 로고
    • Diploma thesis, Institut fur Informatik, Lehrstuhl Prof. Brauer, Technische Universität München, URL
    • Hochreiter, Sepp. Untersuchungen zu dynamischen neuronalen Netzen. Diploma thesis, Institut fur Informatik, Lehrstuhl Prof. Brauer, Technische Universität München, 1991. URL http://www7. informatik.tu-muenchen.de/-Ehochreit.
    • (1991) Untersuchungen zu Dynamischen Neuronalen Netzen
    • Hochreiter, S.1
  • 20
    • 0001033889 scopus 로고
    • Learning complex, extended sequences using the principle of history compression
    • Schmidhuber, Jürgen. Learning complex, extended sequences using the principle of history compression. Neural Computation, 4(2):234-242, 1992.
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 234-242
    • Schmidhuber, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.