Figure 4From: Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models Sum of squared errors (y-axis) in the testing sets, computed as averages from eight replicates for Bayesian neural networks (BRANN) and ANN coupled with the SCG algorithm (SCGANN), for ANN with different numbers of neurons. Back to article page