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
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;
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
DOI :
10.1109/IJSIS.1998.685488
