z-logo
open-access-imgOpen Access
Evaluation of Predictive Ability of Bayesian Regularized Neural Network Using Cholesky Factorization of Genetic Relationship Matrices for Additive and Non-additive Genetic Effects
Author(s) -
Harettin OKUT,
Daniel Gianola,
K.A. Weigel
Publication year - 2022
Publication title -
livestock studies
Language(s) - English
Resource type - Journals
eISSN - 2757-8240
pISSN - 2717-8331
DOI - 10.46897/livestockstudies.1159627
Subject(s) - additive model , linear model , artificial neural network , mathematics , generalized additive model , mixed model , bayesian probability , statistics , additive genetic effects , linear regression , cholesky decomposition , computer science , artificial intelligence , heritability , biology , eigenvalues and eigenvectors , physics , quantum mechanics , genetics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here