Benchmarking of Artificial Neural Network Models for Genomic Prediction of Quantitative Traits in Pigs
Wang, J., Maltecca, C., Tiezzi, F., Huang, Y., & Jiang, J. (2023, November 6). JOURNAL OF ANIMAL SCIENCE, Vol. 101, pp. 17–18.
author keywords: artificial neural network; genomic prediction; swine
TL;DR:
It is found ANN with up to three layers could not improve genomic predictions compared with routine linear methods for pig quantitative traits, and hyper-parameter tuning is critical for improving the genomic prediction accuracy in pigs.
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