Title :
Classification of vintages of wine by artificial nose using time delay neural networks
Author :
Yamazaki, A. ; Ludermir, T.B. ; de Souto, M.C.P.
Author_Institution :
Center of Informatics, Univ. Fed. de Pernambuco, Recife, Brazil
fDate :
11/22/2001 12:00:00 AM
Abstract :
A pattern recognition system for an artificial nose is presented. It is composed of artificial neural networks with time delay taps on their inputs. For the classification of vintages of wine, it achieves better results (mean classification error of 4.32%) than those obtained by networks without delay taps (42.79%)
Keywords :
delays; food processing industry; gas sensors; neural nets; pattern classification; ANN; artificial nose; error measures; odour recognition; pattern recognition system; time delay neural networks; wine vintage classification;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010985
