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Volumn 26, Issue 1, 1998, Pages 133-140

An insight into the standard back-propagation neural network model for regression analysis

Author keywords

Neural networks; Prediction; Regression

Indexed keywords


EID: 0009630815     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0483(97)00055-8     Document Type: Article
Times cited : (17)

References (9)
  • 1
    • 0025700735 scopus 로고
    • Introduction to computation and learning in artificial neural networks
    • Masson, E. and Wang, Y. Introduction to computation and learning in artificial neural networks. European Journal of Operational Research, 1990, 47, 1-28.
    • (1990) European Journal of Operational Research , vol.47 , pp. 1-28
    • Masson, E.1    Wang, Y.2
  • 4
    • 0039552725 scopus 로고
    • Generalization effects of k-neighbor interpolation training
    • Kawabata, T. Generalization effects of k-neighbor interpolation training. Neural Computation, 1991, 3, 409-417.
    • (1991) Neural Computation , vol.3 , pp. 409-417
    • Kawabata, T.1
  • 5
  • 9
    • 0001968889 scopus 로고
    • On the bias in flexible functional forms and an essentially unbiased form
    • Gallant, A. R. On the bias in flexible functional forms and an essentially unbiased form. Journal of Econometrics, 1981, 15, 211-245.
    • (1981) Journal of Econometrics , vol.15 , pp. 211-245
    • Gallant, A.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.