Research Article

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

Table 16

Optimal results.

No.WCAER-WCA
Strain energy (mJ)Time (s)Strain energy (mJ)Time (s)

10.0115092.62E + 030.0115093.05E + 03
20.0115092.59E + 030.0115093.08E + 03
30.0106542.63E + 030.0106542.84E + 03
40.0106542.63E + 030.0106542.90E + 03
50.0111272.62E + 030.0111272.96E + 03
60.0113142.63E + 030.0113143.61E + 03
70.0113642.63E + 030.0113643.56E + 03
80.0115092.62E + 030.0115093.57E + 03
90.0107172.63E + 030.0107173.17E + 03
100.0115092.63E + 030.0115093.07E + 03
110.0106752.65E + 030.0106753.03E + 03
120.0115092.33E + 030.0115092.90E + 03
130.0115092.67E + 030.0115092.98E + 03
140.0115092.67E + 030.0115093.05E + 03
150.0115092.90E + 030.0115093.02E + 03
160.0107162.68E + 030.0107163.05E + 03
170.0115092.68E + 030.0115092.89E + 03
180.0115092.72E + 030.0115092.85E + 03
190.0115092.85E + 030.0115092.94E + 03
200.0115092.80E + 030.0115092.85E + 03
210.0112572.95E + 030.0112572.86E + 03
220.0107082.69E + 030.0107082.93E + 03
230.0106562.94E + 030.0106563.02E + 03
240.0115092.94E + 030.0115093.06E + 03
250.0115092.96E + 030.0115093.09E + 03
260.0106752.63E + 030.0106753.19E + 03
270.0115092.65E + 030.0115093.05E + 03
280.0115092.68E + 030.0115093.05E + 03
290.0115092.95E + 030.0115093.05E + 03
300.0107162.96E + 030.0107162.84E + 03
Average0.011232717.7550.011193057.928
Standard deviation0.000373149.22290.000568202.8228