Prediction of Breeding Values for Dairy Cattle Using Artificial Neural Networks and Neuro-Fuzzy Systems

Table 4

Mean square error, root mean square error, and correlation in five MLP and neuro-fuzzy networks for predicting milk and fat EBV simultaneously.

Networks		MLP				LOLIMOT
Trait		Milk		Fat		Milk		Fat
Error criteria		RMSE	r	RMSE	r	RMSE	r	RMSE	r
	16	122.3	0.89	4.45	0.88	113.1	0.92	3.30	0.91
	17	117.7	0.90	4.33	0.88	113.7	0.92	3.32	0.91
Experiment no.	18	105.5	0.90	5.11	0.92	102.6	0.93	2.84	0.94
	19	103.8	0.92	5.07	0.92	102.4	0.93	2.77	0.94
	20	101.4	0.93	4.93	0.93	100.2	0.94	2.75	0.95