메뉴 건너뛰기




Volumn 599, Issue 2, 2007, Pages 232-240

Use of different artificial neural networks to resolve binary blends of monocultivar Italian olive oils

Author keywords

Artificial neural networks; Back propagation algorithm; Chemometrics; Extra virgin olive oil; Kohonen self organizing maps

Indexed keywords

BINARY BLENDS; CHEMOMETRICS; EXTRA VIRGIN OLIVE OIL; KOHONEN SELF-ORGANIZING MAPS;

EID: 34548537453     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2007.08.006     Document Type: Article
Times cited : (61)

References (25)
  • 1
    • 34548528005 scopus 로고    scopus 로고
    • EC (The Commission of the European Communities), Regulation 2081/92, Off. J. Commission Eur. Communities, 1992, L208, 1-8.
  • 2
    • 34548527564 scopus 로고    scopus 로고
    • EC (The Commission of the European Communities), Regulation 2037/93, Off. J. Commission Eur. Communities, 1993, L185, 5-6.
  • 3
    • 33751158200 scopus 로고
    • Potential of FTIR for the authentication of vegetable oils
    • Lai Y.W., Kemsley E.K., and Wilson R.H. Potential of FTIR for the authentication of vegetable oils. J. Agric. Food Chem. 42 (1994) 1154-1159
    • (1994) J. Agric. Food Chem. , vol.42 , pp. 1154-1159
    • Lai, Y.W.1    Kemsley, E.K.2    Wilson, R.H.3
  • 4
    • 0007913955 scopus 로고    scopus 로고
    • Sensory evaluation of virgin olive oils by ANN processing of Dynamic Headspace GC data
    • Angerosa F., Di Giacinto L., Di Vito R., and Cumitini S. Sensory evaluation of virgin olive oils by ANN processing of Dynamic Headspace GC data. J. Agric. Food Chem. 44 (1996) 323-328
    • (1996) J. Agric. Food Chem. , vol.44 , pp. 323-328
    • Angerosa, F.1    Di Giacinto, L.2    Di Vito, R.3    Cumitini, S.4
  • 6
    • 0033348844 scopus 로고    scopus 로고
    • 13C-NMR distortionless enhancement by polarization transfer pulse sequence and multivariate analysis to discriminate olive oil cultivars
    • 13C-NMR distortionless enhancement by polarization transfer pulse sequence and multivariate analysis to discriminate olive oil cultivars. J. Am. Oil Chem. Soc. 76 (1999) 1223-1231
    • (1999) J. Am. Oil Chem. Soc. , vol.76 , pp. 1223-1231
    • Vlahov, G.1    Shaw, A.D.2    Kell, D.B.3
  • 8
    • 0037196118 scopus 로고    scopus 로고
    • Chemical authentication of extra virgin olive oil varieties by supervised chemometric procedures
    • Bucci R., Magrì A.D., Magrì A.L., Marini D., and Marini F. Chemical authentication of extra virgin olive oil varieties by supervised chemometric procedures. J. Agric. Food Chem. 50 (2002) 413-418
    • (2002) J. Agric. Food Chem. , vol.50 , pp. 413-418
    • Bucci, R.1    Magrì, A.D.2    Magrì, A.L.3    Marini, D.4    Marini, F.5
  • 9
    • 34548523939 scopus 로고    scopus 로고
    • EC (The Commission of the European Communities), Regulation 2568/91, Off. J. Commission Eur. Communities, L248 (1991) 1-83 and successive modifications.
  • 11
    • 0025732436 scopus 로고
    • Neural networks: a new method for solving chemical problems or just a passing phase?
    • Zupan J., and Gasteiger J. Neural networks: a new method for solving chemical problems or just a passing phase?. Anal. Chim. Acta 248 (1991) 1-30
    • (1991) Anal. Chim. Acta , vol.248 , pp. 1-30
    • Zupan, J.1    Gasteiger, J.2
  • 13
    • 34548531417 scopus 로고    scopus 로고
    • B. Kröse, P. Van Der Smagt, An introduction to neural networks, eight ed., 1996, available on http://www.fwi.uva.nl/research/neuro.
  • 14
    • 0001041635 scopus 로고
    • Learning algorithm and probability distributions in feed-forward and feed-back networks
    • Hopfield J.J. Learning algorithm and probability distributions in feed-forward and feed-back networks. Proc. Natl. Acad. Sci. 81 (1987) 8429-8433
    • (1987) Proc. Natl. Acad. Sci. , vol.81 , pp. 8429-8433
    • Hopfield, J.J.1
  • 17
    • 0022471098 scopus 로고
    • Learning internal representations by back-propagating errors
    • Rumelheart D.E., Hinton G.E., and Williams R.J. Learning internal representations by back-propagating errors. Nature 323 (1986) 533-536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelheart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 18
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen T. Self-organized formation of topologically correct feature maps. Biol. Cybern. 43 (1982) 59-69
    • (1982) Biol. Cybern. , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 20
    • 0030737774 scopus 로고    scopus 로고
    • Kohonen and counterpropagation artificial neural networks in analytical chemistry
    • Zupan J., Novič M., and Ruisanchez I. Kohonen and counterpropagation artificial neural networks in analytical chemistry. Chemom. Intell. Lab. Syst. 38 (1997) 1-23
    • (1997) Chemom. Intell. Lab. Syst. , vol.38 , pp. 1-23
    • Zupan, J.1    Novič, M.2    Ruisanchez, I.3
  • 21
    • 0037470203 scopus 로고    scopus 로고
    • Separation of data on the training and test set for modelling: a case study for modelling of five colour properties of a white pigment
    • Rajer-Randuč K., Zupan J., and Majcen N. Separation of data on the training and test set for modelling: a case study for modelling of five colour properties of a white pigment. Chemom. Intell. Lab. Syst. 65 (2003) 221-229
    • (2003) Chemom. Intell. Lab. Syst. , vol.65 , pp. 221-229
    • Rajer-Randuč, K.1    Zupan, J.2    Majcen, N.3
  • 23
    • 84894887900 scopus 로고
    • Computer aided design of experiments
    • Kennard R.W., and Stone L.A. Computer aided design of experiments. Technometrics 11 (1969) 137-148
    • (1969) Technometrics , vol.11 , pp. 137-148
    • Kennard, R.W.1    Stone, L.A.2
  • 24
    • 0000768740 scopus 로고
    • A combined application of two different neural network types for the prediction of chemical reactivity
    • Simon V., Gasteiger J., and Zupan J. A combined application of two different neural network types for the prediction of chemical reactivity. J. Am. Chem. Soc. 115 (1993) 9148-9159
    • (1993) J. Am. Chem. Soc. , vol.115 , pp. 9148-9159
    • Simon, V.1    Gasteiger, J.2    Zupan, J.3
  • 25
    • 0030719953 scopus 로고    scopus 로고
    • Cross-validatory selection of test and validation sets in multivariate calibration and neural networks as applied to spectroscopy
    • Burden F.R., Brereton R.G., and Walsh P.T. Cross-validatory selection of test and validation sets in multivariate calibration and neural networks as applied to spectroscopy. Analyst 112 (1997) 1015-1022
    • (1997) Analyst , vol.112 , pp. 1015-1022
    • Burden, F.R.1    Brereton, R.G.2    Walsh, P.T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.