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Volumn 239, Issue 2, 1996, Pages 361-373

A multi-layered backpropagation artificial neural network algorithm for UV spectral classification

Author keywords

Classification; Neural networks; Stellar spectra

Indexed keywords


EID: 0039926580     PISSN: 0004640X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00645786     Document Type: Article
Times cited : (2)

References (16)
  • 1
    • 0040655868 scopus 로고
    • Classification of low-resolution stellar spectra via template matching - A simulation study
    • Eds. V. Di Gesú, L. Scarsi, P. Crane, J. H. Friedman, S. Levialdi (Plenum Press, Ny, USA)
    • Adorf, H. M.1986, "Classification of low-resolution stellar spectra via template matching - a simulation study" in Data Analysis in Astronomy II, V, Eds. V. Di Gesú, L. Scarsi, P. Crane, J. H. Friedman, S. Levialdi (Plenum Press, Ny, USA), 61-69
    • (1986) Data Analysis in Astronomy II , vol.5 , pp. 61-69
    • Adorf, H.M.1
  • 10
    • 0009999483 scopus 로고
    • Progress in automation techniques for MK classification
    • Ed. R. F. Garrison (David Dunlap Observatory, Toronto, Canada)
    • Kurtz, M.J. 1984, "Progress in automation techniques for MK classification" in The MK Process and Stellar Classification, Ed. R. F. Garrison (David Dunlap Observatory, Toronto, Canada), 136-152
    • (1984) The MK Process and Stellar Classification , pp. 136-152
    • Kurtz, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.