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Volumn 17, Issue 8, 1996, Pages 811-818

Assessments of neural network classifier output codings using variability of Hamming distance

Author keywords

Back propagation neural network; Output codings; Output states permutation; Statistical classification; Variability of Hamming distance between states

Indexed keywords

BACKPROPAGATION; PATTERN RECOGNITION SYSTEMS; STATISTICAL METHODS;

EID: 0030189093     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(96)00038-4     Document Type: Article
Times cited : (4)

References (6)
  • 1
    • 0004095188 scopus 로고
    • Software Technology Branch, Lyndon B. Johnson Space Center
    • Baffes, P.T. (1991). NETs User's Guide. Software Technology Branch, Lyndon B. Johnson Space Center.
    • (1991) NETs User's Guide
    • Baffes, P.T.1
  • 2
    • 0029388677 scopus 로고
    • Distributed coding for data representation of back-propagation neural network classifiers
    • Chong, C.C. and J.C. Jia (1995). Distributed coding for data representation of back-propagation neural network classifiers. Electronics Lett. 21, 1852-1854.
    • (1995) Electronics Lett. , vol.21 , pp. 1852-1854
    • Chong, C.C.1    Jia, J.C.2
  • 4
    • 0026678254 scopus 로고
    • Classification of multispectral remote sensing data using a back-propagation neural network
    • Heermann, P.D. and N. Khazenie (1992). Classification of multispectral remote sensing data using a back-propagation neural network. IEEE Trans. Geoscience Remote Sensing 60, 81-88.
    • (1992) IEEE Trans. Geoscience Remote Sensing , vol.60 , pp. 81-88
    • Heermann, P.D.1    Khazenie, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.