메뉴 건너뛰기




Volumn 70, Issue 1-2, 2003, Pages 46-51

Latched recurrent neural network

Author keywords

Finite state automata; Latch; Long term dependencies; Recurrent neural networks; Temporal processing

Indexed keywords

ALGORITHMS; FINITE AUTOMATA; FLIP FLOP CIRCUITS; GRADIENT METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MULTIPLEXING EQUIPMENT; SPURIOUS SIGNAL NOISE; TIME SERIES ANALYSIS; VECTORS;

EID: 0038241188     PISSN: 00135852     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (7)
  • 2
    • 85064187522 scopus 로고    scopus 로고
    • On-line identification and reconstruction of finite automata with generalized recurrent neural networks
    • I. Gabrijel, A. Dobnikar, "On-line Identification and Reconstruction of Finite Automata with Generalized Recurrent Neural Networks", to appear in Neural Networks.
    • Neural Networks
    • Gabrijel, I.1    Dobnikar, A.2
  • 3
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Y. Bengio, P. Simard, P. Frasconi, "Learning Long-Term Dependencies with Gradient Descent is Difficult", IEEE Transactions on Neural Networks, vol. 5, no. 2, pp. 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
  • 4
    • 0001033889 scopus 로고
    • Learning complex, extended sequences using the principle of history compression
    • J. Schmidhuber, "Learning complex, extended sequences using the principle of history compression", Neural Computation, vol. 4, no. 2, pp. 234-242, 1992.
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 234-242
    • Schmidhuber, J.1
  • 6
    • 0037888669 scopus 로고    scopus 로고
    • Wavelet based denoising integrated into multilayered perceptron
    • U. Lotrič, "Wavelet Based Denoising Integrated into Multilayered Perceptron", submitted to Neurocomputing, 2002.
    • (2002) Neurocomputing
    • Lotrič, U.1
  • 7
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • R. J. Williams, D. Zipser, "A Learning Algorithm for Continually Running Fully Recurrent Neural Networks", Neural Computation, vol. 1, no. 2, pp. 270-280, 1989.
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.