Comparison of bayesian regularized neural network, random forest regression, support vector regression and multivariate adaptive regression splines algorithms to predict body weight from biometrical measurements in thalli sheep

In this study, it is aimed to compare several data mining and artificial neural network algorithms to predict body weight from biometric measurements for the Th alli sheep breed. For this purpose, the prediction capabilities of Bayesian Regularized Neural Network (BRNN), Support Vector Regression (S...

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Bibliografiske detaljer

Hovedforfatter:	Cem TIRINK
Format:	Artigo
Sprog:	Inglês
Udgivet:	Kafkas University, Faculty of Veterinary Medicine 2022-05-01
Serier:	Kafkas Universitesi Veteriner Fakültesi Dergisi
Fag:	bayesian regularized neural network multivariate adaptive regression splines random forest regression support vector regression th alli sheep
Online adgang:	https://vetdergikafkas.org/pdf.php?id=2911
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