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Volumn 26, Issue 13, 1999, Pages 1243-1265

Predicting the success of nations at the Summer Olympics using neural networks

Author keywords

Artificial neural networks (ANNs); Data analysis; Ordinary least squares (OLS) regression; Summer Olympics; Weighted least squares (WLS) regression

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

EID: 0033230386     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0548(99)00003-9     Document Type: Article
Times cited : (56)

References (20)
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    • Jokl, E.1
  • 8
    • 0009498089 scopus 로고
    • Olympic games competition: Structural correlates of national success
    • Ball D. Olympic games competition: Structural correlates of national success. International Journal of Comparative Sociology 1972;13:186-200.
    • (1972) International Journal of Comparative Sociology , vol.13 , pp. 186-200
    • Ball, D.1
  • 9
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    • The influence of selected socio-economic factors on the level of sports achievements in the various countries
    • Novikov A, Maximenko A. The influence of selected socio-economic factors on the level of sports achievements in the various countries. International Review of Sport Sociology 1972;7:22-44.
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    • Novikov, A.1    Maximenko, A.2
  • 10
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    • A socioeconomic model of national Olympic performance
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    • Grimes, A.1    Kelly, W.2    Rubin, P.3
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    • Sun X. Neural Network Models for the Wire Bonding Process. Ph.D. Dissertation, College of Business and Management, University of Maryland, College Park, MD, 1994.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.