Differentiate parameters between feedings in Iberian pigs and application of classification intelligent technologies
DOI:
https://doi.org/10.3989/gya.1996.v47.i3.852Keywords:
Artificial Neuronal Networks, Fatty acid, Gas chromatography, Iberic pig,Abstract
In this work a significant Extremadura South-east Iberian pigs fatty acids, and his capacity of differentiate qualities was studied. Furthermore, and based on this capacity the definition of confidence intervals and also differentiate parameters was obtained.
They were used to develop a computer program system which allow the automatically classification of pigs. This system uses one of the most powerful sample classification tools existing nowadays: Artificial Neuronal Networks (A.N.N.).
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 1996 Consejo Superior de Investigaciones Científicas (CSIC)

This work is licensed under a Creative Commons Attribution 4.0 International License.
© CSIC. Manuscripts published in both the print and online versions of this journal are the property of the Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
All contents of this electronic edition, except where otherwise noted, are distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You may read here the basic information and the legal text of the licence. The indication of the CC BY 4.0 licence must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the final version of the work produced by the publisher, is not allowed.