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

Table 2

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

Networks		MLP		LOLIMOT
Error criteria		RMSE	r	RMSE	r
Experiment no.	1	192.3	0.69	184.022	0.81
	2	156.5	0.81	154.5	0.82
	3	149.8	0.83	153.4	0.83
	4	208.1	0.63	210.6	0.63
	5	212.0	0.61	206.8	0.66
	6	172.8	0.67	205.5	0.68
	7	154.1	0.82	144.2	0.82
	8	151.6	0.82	143.1	0.83
	9	144.3	0.85	143.4	0.84
	10	109.7	0.91	113.1	0.92
	11	117.9	0.90	113.0	0.92
	12	106.7	0.92	101.8	0.93
	13	106.2	0.92	102.0	0.93