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Volumn 7, Issue 1, 1994, Pages 147-158

Convergence rates for single hidden layer feedforward networks

Author keywords

Embedding; Fourier series; Nonparametric regression

Indexed keywords

ESTIMATION; FOURIER TRANSFORMS; LEARNING SYSTEMS; PROBABILITY; REGRESSION ANALYSIS;

EID: 0028320833     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(94)90063-9     Document Type: Article
Times cited : (52)

References (23)
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    • On the approximate realization of continuous mappings by neural networks
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi1
  • 10
    • 0026449851 scopus 로고
    • On learning the derivatives of an unknown mapping with multilayer feedforward networks
    • Neural Networks, Revised and reprinted in, 1992 Blackwell Oxford, UK 206 223
    • (1992) Artificial Neural Networks , vol.5 , pp. 129-138
    • Gallant1    White2
  • 14
    • 0000796112 scopus 로고
    • A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
    • (1992) The Annals of Statistics , vol.20 , pp. 608-613
    • Jones1
  • 16
    • 1542561787 scopus 로고
    • Estimating Lyapunov exponents with nonparametric regression and convergence rates for feedforward single hidden layer networks
    • North Carolina State University. Department of Statistics
    • (1991) Unpublished doctoral dissertation
    • McCaffrey1
  • 20
    • 84912999481 scopus 로고
    • Convergence rates of maximum likelihood and related estimation in general parameter spaces
    • The University of Chicago, Department of Statistics
    • (1987) Tech. Rep. No. 207
    • Severini1    Wong2
  • 23
    • 0025635525 scopus 로고
    • Multilayer feedforward networks can learn arbitrary mappings: Connectionist nonparametric regression with automatic and semi-automatic determination of network complexity
    • (1990) Neural Networks , vol.3 , pp. 535-550
    • White1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.