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Volumn 59, Issue 1-2, 2001, Pages 217-227

The hidden layer size in feed-forward neural networks: A statistical point of view

Author keywords

Feed Forward neural networks; Non parametric regression; Smoothing parameter

Indexed keywords


EID: 9944244670     PISSN: 00261424     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (8)
  • 1
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • Barron, A.R. (1993) Universal Approximation Bounds for Superpositions of a Sigmoidal Function, IEEE Transactions on Information Theory, 39, n. 3, 930-945.
    • (1993) IEEE Transactions on Information Theory , vol.39 , Issue.3 , pp. 930-945
    • Barron, A.R.1
  • 3
    • 84891475324 scopus 로고    scopus 로고
    • Proprietà asintotiche degli stimatori neurali nella regressione non parametrica
    • Giordano, F and Perna, C. (1998) Proprietà asintotiche degli stimatori neurali nella regressione non parametrica, Atti della XXXIX Riunione Scientifica S.I.S., II, 235-242.
    • (1998) Atti della XXXIX Riunione Scientifica S.I.S. , vol.2 , pp. 235-242
    • Giordano, F.1    Perna, C.2
  • 4
    • 84891451721 scopus 로고    scopus 로고
    • Large-sample properties of neural estimators in a regression model with φ-mixing errors
    • Giordano, F and Perna, C. (1999) Large-sample properties of Neural Estimators in a Regression Model with φ-mixing errors, Book of short papers, CLADAG99, 89-92.
    • (1999) Book of Short Papers, CLADAG99 , pp. 89-92
    • Giordano, F.1    Perna, C.2
  • 6
    • 0024880831 scopus 로고
    • Multy-layer feedforward networks are universal approximators
    • Hornik, K., Stinchcombe, M. and White, H. (1989) Multy-Layer Feedforward Networks Are Universal Approximators, Neural Networks, 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 7
    • 84979404783 scopus 로고
    • Backpropagation in time-series forecasting
    • Lachtermacher, G. and Fuller, J.D. (1995) Backpropagation in Time-series Forecasting, J. of Forecasting, 14, 881-393.
    • (1995) J. of Forecasting , vol.14 , pp. 881-393
    • Lachtermacher, G.1    Fuller, J.D.2
  • 8
    • 0030115092 scopus 로고    scopus 로고
    • Predictive minimum description length criterion for time series modeling with neural networks
    • Lehtokangas, M., Saarinen, J., Huuhtanen, P. and Kaski, K. (1996) Predictive Minimum Description Length Criterion for Time Series Modeling with Neural Networks, Neural Computation, 8, 583-593.
    • (1996) Neural Computation , vol.8 , pp. 583-593
    • Lehtokangas, M.1    Saarinen, J.2    Huuhtanen, P.3    Kaski, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.