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Volumn 348, Issue 1-3, 1997, Pages 503-509

Neural network based electronic nose for the classification of aromatic species

Author keywords

Artificial neural networks; Electronic nose; Odour recognition; Principal component analysis; Tin oxide gas sensor

Indexed keywords

AROMATIC COMPOUND;

EID: 0030882953     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-2670(97)00202-X     Document Type: Conference Paper
Times cited : (51)

References (17)
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    • M. Fard, M.Sc. Thesis, University of Warwick, 1985.
    • (1985)
    • Fard, M.1
  • 12
    • 0343016889 scopus 로고    scopus 로고
    • US Patent 3 631 436, 1971
    • N. Taguchi, US Patent 3 631 436, 1971.
    • Taguchi, N.1
  • 13
    • 0003769608 scopus 로고
    • Chemical and Biochemical Sensors, VCH, Weinheim
    • W. Göpel (Ed.), Sensors, a Comprehensive Survey, vol. 2, Chemical and Biochemical Sensors, VCH, Weinheim, 1991.
    • (1991) Sensors, a Comprehensive Survey , vol.2
    • Göpel, W.1
  • 16
    • 0343016886 scopus 로고    scopus 로고
    • Figaro Gas Sensor Technical Reference, 1992, Figaro Engineering Inc. USA: P.O. Box 357, 1000 Skokie Blvd. Room 160 Wilmette, Illinois 60091 USA. Tel: (1) 708-256-3546
    • Figaro Gas Sensor Technical Reference, 1992, Figaro Engineering Inc. USA: P.O. Box 357, 1000 Skokie Blvd. Room 160 Wilmette, Illinois 60091 USA. Tel: (1) 708-256-3546.
  • 17
    • 0013629062 scopus 로고
    • Eigenvector Technologies, West Richland
    • B.M. Wise, PLS_Toolbox Version 1.4, Eigenvector Technologies, West Richland, 1995.
    • (1995) PLS_Toolbox Version 1.4
    • Wise, B.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.