AI-driven prediction of body weight in chicken genotypes with different growth rates

This study evaluates four machine learning algorithms: Gaussian Exponential Regression (GER), Feedforward Neural Networks (FFNN), Support Vector Machines (SVM), and Decision Trees (DT) for predicting body weight in chickens with different growth rates (slow-, medium-, and fast-growing breeds). It fi...

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Bibliographic Details

Main Authors:	Musa, Aliyu Abduljalal, Idrus, Zulkifli, Chung, Eric Lim Teik, Samat, Noraini, Abdulkadir, Rabiu Aliyu, Abayomi, Rotimi Emmanuel, Setiaji, Asep, Mamat-Hamidi, Kamalludin
Format:	Article
Language:	en
Published:	Springer Science and Business Media B.V. 2026
Subjects:	Food Animals Animal Science and Zoology
Online Access:	http://psasir.upm.edu.my/id/eprint/123310/1/123310.pdf http://psasir.upm.edu.my/id/eprint/123310/ https://link.springer.com/article/10.1007/s11250-026-04925-x
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