Research Article
Design a PID Controller for Suspension System by Back Propagation Neural Network
Table 6
The results of the variable training methods in the BPN with newelm function.
| Acronym | Epoch in goal | Error goal | Train time (s) | Test time (s) |
| LM | 153 | met | 28.724082 | 0.054526 | BFG | 1528 | met | 77.482451 | 0.046583 | RP | 3000 | Not met | 67.677318 | 0.046466 | SCG | 3000 | Not met | 101.328176 | 0.044047 | CGB | 2932 | Not met | 118.102075 | 0.052230 | CGF | 2125 | Not met | 88.894782 | 0.046125 | CGP | 2302 | Not met | 94.665335 | 0.046852 | OSS | 3000 | Not met | 112.071065 | 0.046677 | GDX | 3000 | Not met | 61.243551 | 0.046046 |
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