Research Article
Health Monitoring of Automotive Suspensions: A LSTM Network Approach
Table 3
Performance of different models.
| Category | Layer size | Point 1 | Point 2 | Point 3 | Point 4 | | P (%) | | P (%) | | P (%) | | P (%) |
| SVM | C - 1.2 G - 1000 | 0.52 | −43.6 | 0.50 | −46.9 | 0.52 | −44.4 | 0.51 | −45.9 | BP | 500–500 | 0.55 | −41.8 | 0.54 | −40.8 | 0.54 | −42.3 | 0.54 | −42.8 | NARX | 50 | 0.63 | −21.2 | 0.59 | −23.3 | 0.64 | −22.6 | 0.60 | −25.7 | EKF | | 0.39 | −81.4 | 0.43 | −73.2 | 0.39 | −77.9 | 0.41 | −75.6 | LSTM | 40–40 | 0.76 | −17.1 | 0.78 | −16.7 | 0.76 | −16.9 | 0.75 | −17.5 |
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