Comparison of the decision tree, artificial neural network and multiple regression methods for prediction of carcass tissues composition of goat kids-Reference-Cited by-同舟云学术

Comparison of the decision tree, artificial neural network and multiple regression methods for prediction of carcass tissues composition of goat kids

Published:2020-03 Issue: Volume:161 Page:108011
ISSN:0309-1740
Container-title:Meat Science
language:en
Short-container-title:Meat Science

Author:

Ekiz Bulent,Baygul Oguzhan,Yalcintan Hulya,Ozcan Mustafa

Publisher

Elsevier BV

Subject

Food Science

Reference41 articles.

1. Comparison of artificial neural network and decision tree algorithms used for predicting live weight at post weaning period from some biometrical characteristics in Harnai sheep;Ali;Pakistan Journal of Zoology,2015

2. Prediction of kid carcass composition by use of joint dissection;Argüello;Livestock Production Science,2001

3. Acquisition of PN sequences using multilayer perceptron neural network adaptive processor for multiuser detection in spread-spectrum communication systems;Benkrinah;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields,2018

4. Live animal carcass evaluation and selection manual;Boggs,1993

5. Carcass characteristics of Criollo Cordobés kid goats under an extensive management system: Effects of gender and liveweight at slaughter;Bonvillani;Meat Science,2010

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