Neural Network Modeling for Prediction of Weld Bead Geometry in Laser Microwelding

Table 3

Training performance of different network architecture.

Network architecture	MSE	𝑅^2	RMS error of training
			Bead depth	Bead width
3-4-2	0.03152	0.9907	2.584	6.891
3-6-2	0.01451	0.9908	2.577	4.070
3-8-2	0.01143	0.9939	2.094	3.783
3-10-2	0.00859	0.9931	2.228	2.881
3-12-2	0.00792	0.9940	2.077	2.832
3-14-2	0.00109	0.9991	0.822	0.989
3-16-2	0.00227	0.9979	1.239	1.366
3-18-2	0.00393	0.9971	1.438	2.027
3-20-2	0.00571	0.9958	1.749	2.420