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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