| Author | dc.contributor.author | Beltrán Maturana, Nicolás | |
| Author | dc.contributor.author | Duarte Mermoud, Manuel | es_CL |
| Author | dc.contributor.author | Soto, Víctor A. | es_CL |
| Author | dc.contributor.author | Salah, Sebastián A. | es_CL |
| Author | dc.contributor.author | Bustos, Matías A. | es_CL |
| Admission date | dc.date.accessioned | 2010-01-11T12:41:37Z | |
| Available date | dc.date.available | 2010-01-11T12:41:37Z | |
| Publication date | dc.date.issued | 2006 | |
| Cita de ítem | dc.identifier.citation | International Journal of Computer Systems Science and Engineering 1:1 2006 | en_US |
| Identifier | dc.identifier.issn | 2070-3945 | |
| Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/125068 | |
| Abstract | dc.description.abstract | Results of Chilean wine classification based on the
aroma information provided by an electronic nose are reported in this
paper. The classification scheme consists of two parts; in the first
stage, Principal Component Analysis is used as a feature extraction
method to reduce the dimensionality of the original information,
while in the second stage, Radial Basis Functions Neural Networks is
used as pattern recognition technique to perform the classification.
This study is aimed to classify wine samples from different years,
valleys and vineyards of Chile, into one of the classes Cabernet
Sauvignon, Merlot or Carménère. | en_US |
| Patrocinador | dc.description.sponsorship | This work was supported by
CONYCIT- Chile, under the grant FONDEF D01-1016, “Chilean Red Wine
Classification by means of Intelligent Instrumentation”. | en_US |
| Lenguage | dc.language.iso | en | en_US |
| Keywords | dc.subject | Feature extraction techniques | en_US |
| Título | dc.title | Chilean Wines Classification based only on Aroma Information | en_US |
| Document type | dc.type | Artículo de revista | |
