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Volumn 33, Issue 1, 1996, Pages 35-46

Artificial neural networks in classification of NIR spectral data: Design of the training set

Author keywords

Drug analysis; Neural network; NIR; Pattern recognition

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMOMETRICS; CLASSIFICATION; PRIORITY JOURNAL; SPECTROSCOPY;

EID: 0029974348     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/0169-7439(95)00077-1     Document Type: Article
Times cited : (218)

References (29)
  • 16
    • 0000969570 scopus 로고
    • T. Næs, J. Chemom., 1 (1987) 121-134.
    • (1987) J. Chemom. , vol.1 , pp. 121-134
    • Næs, T.1
  • 27
    • 0004264698 scopus 로고
    • Moscow University. English translation by W.J. Studden and E.M. Klimo, Academic Press, New York
    • V.V. Fedorov, Theory of Optimal Experiments, Moscow University. English translation by W.J. Studden and E.M. Klimo, Academic Press, New York, 1972.
    • (1972) Theory of Optimal Experiments
    • Fedorov, V.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.