Development and Optimization for a New Planar Spring Using Finite Element Method, Deep Feedforward Neural Networks, and Water Cycle Algorithm

Table 9

MSE results for strain energy.

No.	MSE
	1	2	3	4	5	6	7	8	9	10
1	0.0061	0.0001	0.0004	0.0003	0.0004	0.0001	0.0003	0.0037	0.0014	0.0016
2	0.0222	0.0037	0.0086	0.0007	0.0032	0.0024	0.0035	0.0164	0.0082	0.0008
3	0.0013	0.0011	0.0203	0.0011	0.0175	0.0019	0.0296	0.0005	0.0010	0.0034
4	0.0152	0.0060	0.0007	0.0093	0.0016	0.0072	0.0178	0.0049	0.0054	0.0036
5	0.0045	0.0150	0.0039	0.0067	0.0071	0.0058	0.0058	0.0018	0.0078	0.0051
6	0.0048	0.0043	0.0049	0.0058	0.0075	0.0103	0.0037	0.0107	0.0093	0.0043
7	0.0119	0.0118	0.0027	0.0143	0.0046	0.0025	0.0086	0.0039	0.0051	0.0067
8	0.0062	0.0047	0.0015	0.0063	0.0015	0.0020	0.0423	0.0073	0.0061	0.0273
9	0.0043	0.0034	0.0355	0.0061	0.0158	0.0357	0.0091	0.0047	0.0200	0.0104