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Volumn 1, Issue , 2003, Pages 404-409

Determination of Tea Quality by Using a Neural Network Based Electronic Nose

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CHEMICAL SENSORS; CLASSIFICATION (OF INFORMATION); FERMENTATION; FLAVORS; FUZZY CONTROL; IMAGE ANALYSIS; INTERFACES (COMPUTER); MOS DEVICES; PRINCIPAL COMPONENT ANALYSIS; QUALITY ASSURANCE; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS; VOLATILE ORGANIC COMPOUNDS;

EID: 0141796543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (19)
  • 3
    • 65349137656 scopus 로고    scopus 로고
    • Use of Electronic Nose in Tea Industry
    • M. Bhuyan and S. Borah, "Use of Electronic Nose in Tea Industry", EAIT, 2001.
    • (2001) EAIT
    • Bhuyan, M.1    Borah, S.2
  • 4
    • 0029109417 scopus 로고
    • Fruit ripeness determination by electronic sensing of aromatic volatiles
    • M. Benady, J.E. Simon and G.E. Miles, "Fruit ripeness determination by electronic sensing of aromatic volatiles", Transactions of the ASAE, Vol. 38, No.1 1995 pp. 251-257.
    • (1995) Transactions of the ASAE , vol.38 , Issue.1 , pp. 251-257
    • Benady, M.1    Simon, J.E.2    Miles, G.E.3
  • 5
    • 10544223272 scopus 로고    scopus 로고
    • Electronic sensing of aromatic volatiles for quality sorting of blueberries
    • J.E. Simon, A. Hetzroni, B. Bordeion, G.E. Miles and D.J. Charles, "Electronic sensing of aromatic volatiles for quality sorting of blueberries", Journal of Food Science Vol. 61, No. 5, 1996, pp.967-970.
    • (1996) Journal of Food Science , vol.61 , Issue.5 , pp. 967-970
    • Simon, J.E.1    Hetzroni, A.2    Bordeion, B.3    Miles, G.E.4    Charles, D.J.5
  • 6
    • 0026900015 scopus 로고
    • Detection of vapours and odours form a multisensor array using pattern-recognition techniques: Artificial neural networks
    • J.W. Gardner, E.L. Hines and H.C. Tang, "Detection of vapours and odours form a multisensor array using pattern-recognition techniques: Artificial neural networks", Sensors and Actuators B Vol. 9, 1992, pp 9-15.
    • (1992) Sensors and Actuators B , vol.9 , pp. 9-15
    • Gardner, J.W.1    Hines, E.L.2    Tang, H.C.3
  • 7
    • 0026467444 scopus 로고
    • Application of an electronic nose to the discrimination of coffees
    • J.W.Gardner, H.V. Shurmer and T.T. Tan, "Application of an electronic nose to the discrimination of coffees", Sensors and Actuators B Vol.6, 1992, pp. 71-75.
    • (1992) Sensors and Actuators B , vol.6 , pp. 71-75
    • Gardner, J.W.1    Shurmer, H.V.2    Tan, T.T.3
  • 11
    • 0141801629 scopus 로고    scopus 로고
    • www.mathwork.com
  • 12
    • 0026156993 scopus 로고
    • Detection of vapours and odours from a multisensor array using pattern recognition. Part 1: Principal components and cluster analyses
    • J.W. Gardner, "Detection of vapours and odours from a multisensor array using pattern recognition. Parti: principal components and cluster analyses", Sensors and Actuators B Vol.4, 1991 pp. 108-116.
    • (1991) Sensors and Actuators B , vol.4 , pp. 108-116
    • Gardner, J.W.1
  • 16
    • 0036740269 scopus 로고    scopus 로고
    • RBF Neural Network Center Selection Based on Fisher Ration Class Separability Measure
    • K. Z. Mao, "RBF Neural Network Center Selection Based on Fisher Ration Class Separability Measure", IEEE Transaction on Neural Network, Vol. 13, No. 5, 2002, pp. 1211-1217.
    • (2002) IEEE Transaction on Neural Network , vol.13 , Issue.5 , pp. 1211-1217
    • Mao, K.Z.1
  • 18
    • 0037185995 scopus 로고    scopus 로고
    • Counteraction of environmental disturbances of electronic nose data by independent component analysis
    • C.D. Natale, E. Martinelli and A. D'Amico, "Counteraction of environmental disturbances of electronic nose data by independent component analysis", Sensors and Actuators B, Vol. 82, 2002, pp. 158-165.
    • (2002) Sensors and Actuators B , vol.82 , pp. 158-165
    • Natale, C.D.1    Martinelli, E.2    D'Amico, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.