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Figure 5 | BMC Genetics

Figure 5

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

Figure 5

Distribution of connection strengths( w kj ) in the linear and selected networks fitted to the Jersey data. The linear model has single neuron architecture with linear activation functions. a) Fat yield using pedigree relationships: linear model (above) and 6 neurons (below). b) Milk yield using pedigree relationships: linear model (above) and 6 neurons (below). c) Protein yield using pedigree relationships: linear model (above) and 5 neurons (below). d) Fat yield using genomic relationships: linear model (above) and 3 neurons (below), e) Milk yield using genomic relationships: linear model (above) and (below) and 6 neurons (below). f) Protein yield using genomic relationships: linear model (above) and 2 neurons (below).

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