Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs
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DOI: 10.3389/fgene.2025.1618891
Abstract: Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These advanced modeling capabilities make them promising candidates for… read more here.
Keywords: ffnn models; quantitative traits; genomic prediction; feed forward ... See more keywords