“…According to 11 developed ANN performances, the optimal numbers of neurons in the hidden layer for Fat%, Protein%, Cheese Merit, Fluid Merit, LIV, SCE, HCR, CCR, Daughter Stillbirth, Sire Stillbirth and GL calculation were: 11 to obtain the highest values of r 2 (during the training cycle r 2 for output variables were: 0.951; 0.947; 0.989; 0.985; 0.902; 0.887; 0.676; 0.953; 0.590; 0.647 and 0.444, respectively), Table 1. The obtained ANN model for prediction of output variables (Fat%, Protein%, Cheese Merit, Fluid Merit, LIV, SCE, HCR, CCR, Daughter Stillbirth, Sire Stillbirth, and GL) was complex (276 weights-biases) because of the high nonlinearity of the observed system (MONTGOMERY, 1984;ADAMCZYK et al, 2021).…”