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Volumn 69, Issue 3, 2000, Pages 397-403

Data preprocessing enhances the classification of different brands of Espresso coffee with an electronic nose

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BEVERAGES; DATA PROCESSING; EXTRACTION; FEEDFORWARD NEURAL NETWORKS; LIQUIDS; PATTERN RECOGNITION; POWDERS; THIN FILMS;

EID: 0034294124     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(00)00499-8     Document Type: Article
Times cited : (85)

References (18)
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    • 0029755981 scopus 로고    scopus 로고
    • Fuzzy neural computing of coffee and tainted-water data from an electronic nose
    • Singh S., Hines E., Gardner J. Fuzzy neural computing of coffee and tainted-water data from an electronic nose. Sens. Actuators, B. 30:1996;185-190.
    • (1996) Sens. Actuators, B , vol.30 , pp. 185-190
    • Singh, S.1    Hines, E.2    Gardner, J.3
  • 10
    • 0032573346 scopus 로고    scopus 로고
    • The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration
    • Poppi R.J., Massart D.L. The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration. Anal. Chim. Acta. 375:1998;187-195.
    • (1998) Anal. Chim. Acta , vol.375 , pp. 187-195
    • Poppi, R.J.1    Massart, D.L.2
  • 16
    • 0032021533 scopus 로고    scopus 로고
    • A hierarchical latent variable model for data visualisation
    • Bishop C.M., Tipping M. A hierarchical latent variable model for data visualisation. IEEE Trans. Patt. Anal. Mach. Int. 20:1998;281-293.
    • (1998) IEEE Trans. Patt. Anal. Mach. Int. , vol.20 , pp. 281-293
    • Bishop, C.M.1    Tipping, M.2
  • 18
    • 0016973661 scopus 로고
    • Pattern recognition by means of disjoint principal components models
    • Wold S. Pattern recognition by means of disjoint principal components models. Pattern Recognit. 8:1976;127.
    • (1976) Pattern Recognit. , vol.8 , pp. 127
    • Wold, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.