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Volumn 74, Issue 1, 2005, Pages 1-22

Regularized greedy algorithms for network training with data noise

Author keywords

Data noise; Greedy approximation; Neural networks; Regularization; Training

Indexed keywords

DATA NOISE; GREEDY APPROXIMATION; NETWORK TRAINING; REGULARIZATION; SOBOLEV-SPACES;

EID: 13744264080     PISSN: 0010485X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00607-004-0081-3     Document Type: Article
Times cited : (5)

References (14)
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    • Barron, A. R.: Universal approximation bounds for superpositions of a sigmoidal function. IEEE Trans. Information Theory 39(3), 930-945 (1993).
    • (1993) IEEE Trans. Information Theory , vol.39 , Issue.3 , pp. 930-945
    • Barron, A.R.1
  • 3
    • 0034558491 scopus 로고    scopus 로고
    • Training neural networks with noisy data as an ill-posed problem
    • Burger, M., Engl, H. W.: Training neural networks with noisy data as an ill-posed problem. Adv. Comput. Math. 13, 335-354 (2000).
    • (2000) Adv. Comput. Math. , vol.13 , pp. 335-354
    • Burger, M.1    Engl, H.W.2
  • 4
    • 84860086267 scopus 로고    scopus 로고
    • Regularized greedy algorithms for neural network training with data noise
    • Johannes-Kepler-University Linz, SFB "Numerical and Symbolic Scientific Computing,"
    • Burger, M., Hofinger, A.: Regularized greedy algorithms for neural network training with data noise. SFB Report 03-4, Johannes-Kepler-University Linz, SFB "Numerical and Symbolic Scientific Computing," (2003).
    • (2003) SFB Report , vol.3 , Issue.4
    • Burger, M.1    Hofinger, A.2
  • 5
    • 0037261148 scopus 로고    scopus 로고
    • Analysis of Tikhonov regularization for function approximation by neural networks
    • Burger, M., Neubauer, A.: Analysis of Tikhonov regularization for function approximation by neural networks. Neural Networks 16, 79-90 (2003).
    • (2003) Neural Networks , vol.16 , pp. 79-90
    • Burger, M.1    Neubauer, A.2
  • 6
    • 0029717957 scopus 로고    scopus 로고
    • A note on error bounds for approximation in inner product spaces
    • Dingankar, A. T., Sandberg, I. W.: A note on error bounds for approximation in inner product spaces. Circuits, Systems Signal Processing 15(4), 519-522 (1996).
    • (1996) Circuits, Systems Signal Processing , vol.15 , Issue.4 , pp. 519-522
    • Dingankar, A.T.1    Sandberg, I.W.2
  • 9
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., Stinchcombe, M., White, H.: Multilayer feedforward networks are universal approximators. Neural Networks 2, 359-366 (1989).
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 10
    • 0000796112 scopus 로고
    • A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
    • Jones, L. K.: A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training. Ann. Stat. 20, 608-613 (1992).
    • (1992) Ann. Stat. , vol.20 , pp. 608-613
    • Jones, L.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.