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Table 1 Effective number of parameters (± standard errors), by trait, in Jerseys.1

From: Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

Network Fat yield (pedigree) Fat yield (genomic) Milk yield (pedigree) Milk yield (genomic) Protein yield (pedigree) Protein yield (genomic)
Linear 123 ± 5.6 166 ± 2.0 124 ± 7.6 162 ± 2.9 118 ± 8.5 151 ± 4.5
1 neuron 91 ± 4.9 142 ± 2.0 93 ± 5.8 166 ± 2.0 91 ± 10.3 144 ± 2.5
2 neurons 104 ± 5.8 128 ± 7.6 122 ± 6.5 145 ± 7.8 114 ± 8.0 136 ± 8.0
3 neurons 107 ± 5.8 132 ± 5.7 123 ± 5.1 129 ± 6.0 126 ± 6.9 141 ± 4.9
4 neurons 108 ± 5.8 129 ± 4.7 112 ± 4.7 131 ± 5.8 129 ± 5.4 138 ± 6.0
5 neurons 106 ± 4.9 127 ± 4.9 118 ± 4.8 132 ± 5.4 131 ± 4.9 138 ± 5.6
6 neurons 114 ± 3.3 128 ± 7.5 122 ± 5.1 132 ± 5.6 136 ± 4.6 137 ± 5.0
  1. 1 Results are averages of 20 runs based on random partitions of the data