Research Article
Development and Optimization for a New Planar Spring Using Finite Element Method, Deep Feedforward Neural Networks, and Water Cycle Algorithm
Table 13
The optimal structure of DFNN.
| Function | Training function | Number of hidden layers | Number of nodes | Divide data |
| Deformation | trainlm | 2 | 7 | 60 : 20 : 20 | Stress | trainlm | 2 | 11 | 70 : 15 : 15 | Strain energy | trainlm | 2 | 7 | 60 : 20 : 20 |
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