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Volumn 34, Issue 12, 2001, Pages 2203-2219

Artificial neural network for the quantitative analysis of air toxic VOCs

Author keywords

Artificial neural network; FTIR; Multicomponent analysis; VOCs

Indexed keywords

VOLATILE ORGANIC COMPOUND;

EID: 0034788467     PISSN: 00032719     EISSN: None     Source Type: Journal    
DOI: 10.1081/AL-100106851     Document Type: Article
Times cited : (11)

References (18)
  • 8
    • 0026703492 scopus 로고
    • Prediction of carbon-13 nuclear magnetic resonance chemical shifts by artificial neural networks
    • (1992) Anal. Chem. , vol.64 , pp. 1157-1164
    • Anker, L.S.1    Jurs, P.C.2
  • 14
    • 0034285020 scopus 로고    scopus 로고
    • Simultaneous kinetic spectrophotometric determination of acetaminophen and phenobarbital by artificial neural networks and partial least squares
    • (2000) Anal. Chim. Acta , vol.419 , pp. 185-196
    • Ni, Y.N.1    Liu, C.2    Kokot, S.3
  • 17
    • 0003266989 scopus 로고
    • The role of atmospheric trace gases in the environment
    • Winefordner, J.D., Ed.; John Wiley & Sons, Inc.: New York
    • (1994) Chemical Analysis , vol.127
    • Sigrist, M.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.