Figure 1

Artificial Neural Network architecture with two layers containing 5 neurons in the hidden layer and one neuron in the output layer. The x _i,p are the inputs for each animal i, and p is the number of SNPs; the w _k,,j are the weights where k is the hidden layer neuron indicator and j is the index for SNP; $b_k^l$ are the hidden layer biases, where k and l are the indexes for neurons and layers, respectively, and b ² is the output neuron bias.