메뉴 건너뛰기




Volumn 128, Issue 1, 1996, Pages 48-56

The Dynamic Universality of Sigmoidal Neural Networks

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0001713459     PISSN: 08905401     EISSN: None     Source Type: Journal    
DOI: 10.1006/inco.1996.0062     Document Type: Article
Times cited : (99)

References (13)
  • 2
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman, J. L. (1990), Finding structure in time, Cognitive Sci. 14, 179.
    • (1990) Cognitive Sci. , vol.14 , pp. 179
    • Elman, J.L.1
  • 3
    • 0001327717 scopus 로고
    • Learning and extracting finite state automata with second-order recurrent neural networks
    • Giles, C. L., Miller, C. B., Chen, D., Chen, H. H., Sun, G. Z., and Lee, Y. C. (1992), Learning and extracting finite state automata with second-order recurrent neural networks, Neural Computation 4, 393-405.
    • (1992) Neural Computation , vol.4 , pp. 393-405
    • Giles, C.L.1    Miller, C.B.2    Chen, D.3    Chen, H.H.4    Sun, G.Z.5    Lee, Y.C.6
  • 6
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • McCulloch, W. S., and Pitts, W. (1943), A logical calculus of the ideas immanent in nervous activity, Bull. Math. Biophys. 5, 115-133.
    • (1943) Bull. Math. Biophys. , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 9
    • 0347534599 scopus 로고
    • Technical Report 90-JP-Automata, Dept. of Computer and Information Science, Ohio State University
    • Pollack, J. B. (1990), "The Induction of Dynamical Recognizers", Technical Report 90-JP-Automata, Dept. of Computer and Information Science, Ohio State University.
    • (1990) The Induction of Dynamical Recognizers
    • Pollack, J.B.1
  • 10
    • 0002663413 scopus 로고
    • Turing computability with neural networks
    • Siegelmann, H. T., and Sontag, E. D. (1991), Turing computability with neural networks, Appl. Math. Lett. 4, 6.
    • (1991) Appl. Math. Lett. , vol.4 , pp. 6
    • Siegelmann, H.T.1    Sontag, E.D.2
  • 11
    • 0029255891 scopus 로고
    • On the computational power of neural networks
    • Siegelmann, H. T., and Sontag, E. D. (1995), On the computational power of neural networks, J. Comput. System Sci. 50, 132-150.
    • (1995) J. Comput. System Sci. , vol.50 , pp. 132-150
    • Siegelmann, H.T.1    Sontag, E.D.2
  • 12
    • 0028500244 scopus 로고
    • Neural networks analog computation via real weights: Analog computational complexity
    • Siegelmann, H. T., and Sontag, E. D. (1994), Neural networks analog computation via real weights: Analog computational complexity, Theoret. Comput. Sci. 131, 331-360.
    • (1994) Theoret. Comput. Sci. , vol.131 , pp. 331-360
    • Siegelmann, H.T.1    Sontag, E.D.2
  • 13
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • Williams, R. J., and Zipser, D. (1989), A learning algorithm for continually running fully recurrent neural networks, Neural Comput. 1, 270.
    • (1989) Neural Comput. , vol.1 , pp. 270
    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.