Research Article
Design a PID Controller for Suspension System by Back Propagation Neural Network
Table 7
The results of the variable training methods in the BPN with newcf function.
| | Acronym | Epoch
in goal | Error goal | Train time
(s) | Test time
(s) |
| | LM | 251 | met | 38.726182 | 0.057241 | | BFG | 1018 | met | 97.481454 | 0.042678 | | RP | 2439 | Not met | 49.16278 | 0.048146 | | SCG | 1980 | Not met | 33.19076 | 0.042047 | | CGB | 3232 | Not met | 128.15905 | 0.055130 | | CGF | 3025 | Not met | 108.15282 | 0.056985 | | CGP | 2100 | Not met | 67.150335 | 0.044152 | | OSS | 1000 | met | 59.011265 | 0.058677 | | GDX | 3230 | Not met | 67.120551 | 0.056046 |
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