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Utilice este identificador para citar o enlazar este documento: https://ria.asturias.es/RIA/handle/123456789/2081


Título: The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry
Autores: Goyache, Félix
Bahamonde Rionda, Antonio
Alonso, J.
López, S.
Coz, J. J.
Quevedo, J. R.
Ranilla, J.
Luaces, O.
Álvarez, A.
Royo Martín, Luis J.
Díez, J.
Fecha Edición: Oct-2001
Editor: Elsevier
Cita Bibliográfica: Goyache, F.; Bahamonde, A.; Alonso, J.; López, S.; del Coz, J.J.; Quevedo, J. R. [et. al]. The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry. Trends in Food Science and Technology. 2001; 12 (10): 370-381.
Resumen: n this paper we advocate the application of Artificial Intelligence techniques to quality assessment of food products. Machine Learning algorithms can help us to: (a) extract operative human knowledge from a set of examples; (b) conclude interpretable rules for classifying samples regardless of the non-linearity of the human behaviour or process; and (c) help us to ascertain the degree of influence of each objective attribute of the assessed food on the final decision of an expert. We illustrate these topics with an example of how it is possible to clone the behaviour of bovine carcass classifiers, leading to possible further industrial applications.
URI: https://ria.asturias.es/RIA/handle/123456789/2081
ISSN: 0924-2244
Aparece en las Colecciones:Agroalimentación y Ganadería
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