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

Table 8

MSE results for stress.

No.	MSE
	1	2	3	4	5	6	7	8	9	10
1	0.0051	0.0023	0.0181	0.0022	0.0116	0.0063	0.0035	0.0023	0.0053	0.0039
2	0.0165	0.0046	0.0100	0.0075	0.0143	0.0084	0.0140	0.0056	0.0034	0.0032
3	0.0091	0.0103	0.0091	0.0009	0.0171	0.0078	0.0032	0.0104	0.0302	0.0036
4	0.0090	0.0076	0.0069	0.0150	0.0068	0.0087	0.0157	0.0043	0.0088	0.0086
5	0.0066	0.0129	0.0104	0.0082	0.0066	0.0155	0.0079	0.0075	0.0073	0.0090
6	0.0144	0.0106	0.0109	0.0127	0.0166	0.0088	0.0153	0.0132	0.0114	0.0179
7	0.0015	0.0115	0.0115	0.0024	0.0086	0.0118	0.0078	0.0049	0.0096	0.0146
8	0.0542	0.0154	0.0151	0.0037	0.0125	0.0138	0.0375	0.0162	0.0303	0.0137
9	0.0160	0.0124	0.0110	0.0356	0.0048	0.0106	0.0173	0.0270	0.0100	0.0283