Neural network models to classify olive oils within the protected denomination of origin framework
Version of Record online: 8 AUG 2013
© 2013 The Authors. International Journal of Food Science and Technology © 2013 Institute of Food Science and Technology
International Journal of Food Science & Technology
Volume 48, Issue 12, pages 2528–2534, December 2013
How to Cite
Torrecilla, J. S., Cancilla, J. C., Matute, G. and Díaz-Rodríguez, P. (2013), Neural network models to classify olive oils within the protected denomination of origin framework. International Journal of Food Science & Technology, 48: 2528–2534. doi: 10.1111/ijfs.12245
- Issue online: 24 OCT 2013
- Version of Record online: 8 AUG 2013
- Manuscript Accepted: 8 JUN 2013
- Manuscript Received: 25 DEC 2012
- European Union Seventh Framework Programme. Grant Numbers: FP7/2007–2013, HEALTH-F4-2011-258868
|ijfs12245-sup-0001-Supinfo.docx||Word document||26K||Table S1.|
Main characteristics of the database used to design every neural network.
Table S2. Databases used to carry out the external validation of the RNN and its results.
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