Electronic Nose Based on Independent Component Analysis Combined with Partial Least Squares and Artificial Neural Networks for Wine Prediction

The aim of this work is to propose an alternative way for wine classification and prediction based on an electronic nose (e-nose) combined with Independent Component Analysis (ICA) as a dimensionality reduction technique, Partial Least Squares (PLS) to predict sensorial descriptors and Artificial Ne...

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Detalles Bibliográficos
Autores principales: Aguilera, Teodoro, Lozano, Jesús, Paredes, José A., Álvarez, Fernando J., Suárez, José I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436016/
https://www.ncbi.nlm.nih.gov/pubmed/22969387
http://dx.doi.org/10.3390/s120608055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436016/
https://www.ncbi.nlm.nih.gov/pubmed/22969387
http://dx.doi.org/10.3390/s120608055

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