The prediction of total anthocyanin concentration in red-grape homogenates using visible-near-infrared spectroscopy and artificial neural networks
- 26 June 2007
- journal article
- Published by Elsevier BV in Analytica Chimica Acta
- Vol. 594 (1), 107-118
- https://doi.org/10.1016/j.aca.2007.05.019
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- The effects of homogenisation method and freezing on the determination of quality parameters in red grape berries of Vitis viniferaAustralian Journal of Grape and Wine Research, 2008
- The Determination of Red Grape Quality Parameters Using the LOCAL AlgorithmJournal of Near Infrared Spectroscopy, 2006
- Variable selection for neural networks in multivariate calibrationChemometrics and Intelligent Laboratory Systems, 1998
- Artificial neural networks in classification of NIR spectral data: Design of the training setChemometrics and Intelligent Laboratory Systems, 1996
- Partial least squares regression as a multivariate tool for the interpretation of infrared spectraChemometrics and Intelligent Laboratory Systems, 1995
- Neural networks for interpretation of infrared spectra using extremely reduced spectral dataAnalytica Chimica Acta, 1993
- Artificial Neural Networks in Multivariate CalibrationJournal of Near Infrared Spectroscopy, 1993
- Chemometric Data Analysis Using Artificial Neural NetworksApplied Spectroscopy, 1993
- Optimal minimal neural interpretation of spectraAnalytical Chemistry, 1992
- Spectroscopic calibration and quantitation using artificial neural networksAnalytical Chemistry, 1990