DocumentCode
2650518
Title
Using neural networks for wine identification
Author
Gaeta, Matteo ; Marsella, Marco ; Miranda, Sergio ; Salerno, Saverio
Author_Institution
Centro di Ricerca in Matematica Pura Appl., Salerno Univ., Italy
fYear
1998
fDate
21-23 May 1998
Firstpage
418
Lastpage
421
Abstract
This paper presents a study and research on mathematical models for the classification of wine absorption spectrum characteristics in order to improve some critical aspects of the production in the bottling process. The classifier model described, based on neural networks, performs both recognition and classification of various typologies of wine produced from the wine firm “M. Mastroberardino” of Atripalda
Keywords
backpropagation; brewing industry; multilayer perceptrons; pattern classification; spectral analysis; absorption spectrum characteristics; backpropagation; bottling process; multilayer perceptron; near IR spectrum; neural networks; spectral analysis; typology; wine classification; Bottling; Character recognition; Chemical analysis; Electromagnetic wave absorption; Frequency; Instruments; Mathematical model; Neural networks; Packaging; Read only memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location
Rockville, MD
Print_ISBN
0-8186-8548-4
Type
conf
DOI
10.1109/IJSIS.1998.685488
Filename
685488
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