American Journal of Analytical Chemistry

Vol.5 No.4(2014), Paper ID 43996, 9 pages

DOI:10.4236/ajac.2014.54033

 

Electronic Tongue and Neural Networks, Biologically Inspired Systems Applied to Classifying Coffee Samples

 

Álvaro A. Arrieta Almario, Rosa L. Tarazona Cáceres

 

Grupo de Investigación DANM/Desarrollo y Aplicación de Nuevos Materiales, Universidad Pontificia Bolivariana, Montería, Colombia
Grupo de Investigación GIE, Universidad Pontificia Bolivariana, Montería, Córdoba

 

Copyright © 2014 Álvaro A. Arrieta Almario, Rosa L. Tarazona Cáceres et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Almario, Á. and Cáceres, R. (2014) Electronic Tongue and Neural Networks, Biologically Inspired Systems Applied to Classifying Coffee Samples. American Journal of Analytical Chemistry, 5, 266-274. doi: 10.4236/ajac.2014.54033.

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