Differentiate parameters between feedings in Iberian pigs and application of classification intelligent technologies

M. A. Guerrero Molina; P. Ledesma Jurado; M. Pantoja Conde

doi:10.3989/gya.1996.v47.i3.852

Differentiate parameters between feedings in Iberian pigs and application of classification intelligent technologies

Authors

M. A. Guerrero Molina Acorex S. Coop., Mérida (Badajoz)
P. Ledesma Jurado Acorex S. Coop., Mérida (Badajoz)
M. Pantoja Conde Acorex S. Coop., Mérida (Badajoz)

DOI:

https://doi.org/10.3989/gya.1996.v47.i3.852

Keywords:

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

Download data is not yet available.

Downloads

Published

1996-06-30

How to Cite

Guerrero Molina MA, Ledesma Jurado P, Pantoja Conde M. Differentiate parameters between feedings in Iberian pigs and application of classification intelligent technologies. Grasas aceites [Internet]. 1996Jun.30 [cited 2025May1];47(3):127-35. Available from: https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/852

Download Citation

Issue

Vol. 47 No. 3 (1996)

Section

Research

License

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 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.