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Volumn 15, Issue 3-4, 1997, Pages 309-326

Recurrent neural networks: A constructive algorithm, and its properties

Author keywords

Convergence proof; Modified least squares algorithm; Online learning algorithm; Radial basis function; Recurrent neural networks

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; FUNCTIONS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; ONLINE SYSTEMS; THEOREM PROVING;

EID: 0031171305     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00011-8     Document Type: Article
Times cited : (31)

References (18)
  • 1
    • 0000029787 scopus 로고
    • FIR and IIR synapses, a new neural network architecture for time series modelling
    • A.D. Back, A.C. Tsoi, FIR and IIR synapses, a new neural network architecture for time series modelling, Neural Comput. 3 (1991) 375-385.
    • (1991) Neural Comput. , vol.3 , pp. 375-385
    • Back, A.D.1    Tsoi, A.C.2
  • 2
    • 26444565569 scopus 로고
    • Finding structure in time
    • J. Elman, Finding structure in time, Cognitive Sci. 14 (1990) 179-211.
    • (1990) Cognitive Sci. , vol.14 , pp. 179-211
    • Elman, J.1
  • 3
    • 0001657855 scopus 로고
    • Local feedback multilayered networks
    • P. Frasconi, M. Gori, G. Soda, Local feedback multilayered networks, Neural Comput. 4 (1992) 120-130.
    • (1992) Neural Comput. , vol.4 , pp. 120-130
    • Frasconi, P.1    Gori, M.2    Soda, G.3
  • 4
    • 0026899732 scopus 로고
    • A constructuve method for multivariate function approximation by multilayer preceptrons
    • S. Geva, J. Sitte, A constructuve method for multivariate function approximation by multilayer preceptrons, IEEE Trans Neural Networks 3 (1992) 621-624.
    • (1992) IEEE Trans Neural Networks , vol.3 , pp. 621-624
    • Geva, S.1    Sitte, J.2
  • 8
    • 0002773313 scopus 로고
    • Learning with localized receptive fields
    • D. Touretzky, G. Hinton, T. Sejnowski (Eds.), Morgan Kaufmann, San Mateo
    • J. Moody, C. Darken, Learning with localized receptive fields, in: D. Touretzky, G. Hinton, T. Sejnowski (Eds.), Proc Connectionist Models Summer School 1988, Morgan Kaufmann, San Mateo, 1989, pp. 133-143.
    • (1989) Proc Connectionist Models Summer School 1988 , pp. 133-143
    • Moody, J.1    Darken, C.2
  • 9
    • 0001382203 scopus 로고
    • Neural networks and nonlinear adaptive filtering: Unifying concepts and new algorithms
    • O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus, S. Marocs, Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms, Neural Comput. 5 (1993) 165-199.
    • (1993) Neural Comput. , vol.5 , pp. 165-199
    • Nerrand, O.1    Roussel-Ragot, P.2    Personnaz, L.3    Dreyfus, G.4    Marocs, S.5
  • 10
    • 0003241739 scopus 로고
    • Bumptrees for efficient function constraint, and classification learning
    • R.P. Lippmann, J. Moody, D. Touretzky (Eds.), Morgan Kaufmann, San Meteo, CA
    • S. Omohundro, Bumptrees for efficient function constraint, and classification learning, in: R.P. Lippmann, J. Moody, D. Touretzky (Eds.), Advances in Neural Information Processing Systems 3, Morgan Kaufmann, San Meteo, CA, 1991, pp. 693-699.
    • (1991) Advances in Neural Information Processing Systems , vol.3 , pp. 693-699
    • Omohundro, S.1
  • 11
    • 26444522485 scopus 로고
    • Radial basis functions for multivariable interpolation: A review
    • Dept. of Applied Maths and Theoretical Phys., University of Cambridge
    • M. Powell, Radial basis functions for multivariable interpolation: a review, Technical Report DAMPT/NA 12, Dept. of Applied Maths and Theoretical Phys., University of Cambridge, 1985.
    • (1985) Technical Report DAMPT/NA 12 , vol.12
    • Powell, M.1
  • 14
    • 0000106040 scopus 로고
    • Universal approximation using radial basis function networks
    • J. Park, I. Sandberg, Universal approximation using radial basis function networks, Neural Comput. 3 (1990) 246-257.
    • (1990) Neural Comput. , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, I.2
  • 15
    • 85049058035 scopus 로고    scopus 로고
    • Discrete time recurrent neural network architectures, a unifying review
    • accepted
    • A.C. Tsoi, A.D. Back, Discrete time recurrent neural network architectures, a unifying review, Neurocomputing, accepted.
    • Neurocomputing
    • Tsoi, A.C.1    Back, A.D.2
  • 16
    • 0028392406 scopus 로고
    • Locally recurrent globally feedforward networks, a critical review of architectures
    • A.C. Tsoi, A.D. Back, Locally recurrent globally feedforward networks, a critical review of architectures, IEEE Trans. Neural Networks 5 (1994) 229-239.
    • (1994) IEEE Trans. Neural Networks , vol.5 , pp. 229-239
    • Tsoi, A.C.1    Back, A.D.2
  • 18
    • 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 Comput. 1(2) (1989) 270-280.
    • (1989) Neural Comput. , vol.1 , Issue.2 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.