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Volumn 45, Issue 1, 2003, Pages 87-98

A comparative analysis of neural network performances in astronomical imaging

Author keywords

[No Author keywords available]

Indexed keywords

ABERRATIONS; APPROXIMATION THEORY; ASTRONOMY; IMAGE RECONSTRUCTION; ITERATIVE METHODS; PROBLEM SOLVING;

EID: 0037399632     PISSN: 01689274     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-9274(02)00237-4     Document Type: Conference Paper
Times cited : (18)

References (16)
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    • Broomhead, D.S.1    Lowe, D.2
  • 3
    • 23044523588 scopus 로고    scopus 로고
    • A high parallel procedure to initialize the output weights of a radial basis function or BP neural network
    • T. Sorevik, F. Manne, R. Moe, & A.H. Gebremedhin.Applied Parallel Computing, New Paradigms for HPC in Industry and Academia, PARA 2000, Berlin: Springer
    • Cancelliere R. A high parallel procedure to initialize the output weights of a radial basis function or BP neural network. Sorevik T., Manne F., Moe R., Gebremedhin A.H. Applied Parallel Computing, New Paradigms for HPC in Industry and Academia, PARA 2000. Lecture Notes Comput. Sci. 1947:2001;384-390 Springer, Berlin.
    • (2001) Lecture Notes Comput. Sci. , vol.1947 , pp. 384-390
    • Cancelliere, R.1
  • 4
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • Chen S., Cowan C.F.N., Grant P.M. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans. Neural Networks. 2:(2):1991;302-309.
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 5
    • 0024861871 scopus 로고
    • ∞ approximation by superpositions of a sigmoidal function
    • Cybenko G. ∞ approximation by superpositions of a sigmoidal function. Math. Control-Signals Syst. 2:1989;303-314.
    • (1989) Math. Control-Signals Syst. , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 6
    • 84974231501 scopus 로고
    • Aspects of the numerical analysis of neural networks
    • Ellacott S.W. Aspects of the numerical analysis of neural networks. Acta Numer. 1994;145-202.
    • (1994) Acta Numer. , pp. 145-202
    • Ellacott, S.W.1
  • 7
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • Funahashi K.I. On the approximate realization of continuous mappings by neural networks. Neural Networks. 2:1989;183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.I.1
  • 9
    • 0004063090 scopus 로고
    • New York: Comprehensive Foundation IEEE Computer Society Press
    • Haykin S. Neural Networks. 1994;Comprehensive Foundation IEEE Computer Society Press, New York.
    • (1994) Neural Networks
    • Haykin, S.1
  • 10
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Networks. 2:1989;359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 14
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • Poggio T., Girosi F. Networks for approximation and learning. Proc. IEEE. 78:(9):1990;1481-1497.
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 16
    • 0013410201 scopus 로고
    • Adaptive optics for array telescopes using neural networks techniques on transputers
    • Amsterdam: IOS Press
    • Wizinowich P., Loyd-Hart M., Angel R. Adaptive optics for array telescopes using neural networks techniques on transputers. Transputing '91, Vol. 1. 1991;170-183 IOS Press, Amsterdam.
    • (1991) Transputing '91 , vol.1 , pp. 170-183
    • Wizinowich, P.1    Loyd-Hart, M.2    Angel, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.