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Volumn 384, Issue 3, 1999, Pages 227-247

A common framework for the unification of neural, chemometric and statistical modeling methods

Author keywords

Empirical modeling; Linear regression; Neural networks; Nonlinear regression

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHEMOMETRIC ANALYSIS; METHODOLOGY; MODEL; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS;

EID: 0033038859     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-2670(98)00776-4     Document Type: Article
Times cited : (21)

References (72)
  • 20
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    • Cybenko, G.1
  • 22
    • 0344789353 scopus 로고
    • A powerful approximation technique for learning
    • P.H. Winston, S.A. Shellard (Eds.), MIT Press, Cambridge
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    • Poggio, T.1    Girosi, F.2    Hyper, B.F.3
  • 46
  • 49
    • 0000155950 scopus 로고
    • Advances in neural information processing systems
    • S.E. Fahlman, C. Lebiere, Advances in neural information processing systems, Morgan Kaufamnn 2 (1990) 524.
    • (1990) Morgan Kaufamnn , vol.2 , pp. 524
    • Fahlman, S.E.1    Lebiere, C.2
  • 51
    • 0003906335 scopus 로고
    • A variable span smoother
    • Department of Statistics, Stanford University
    • J.H. Friedman, A. variable span smoother, Technical Report 5, Department of Statistics, Stanford University, 1984.
    • (1984) Technical Report , vol.5
    • Friedman, J.H.1
  • 70
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J.R. Quinlan, Induction of decision trees, Machine Learning 1 (1986) 81.
    • (1986) Machine Learning , vol.1 , pp. 81
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.