Research Article
Financial Crisis Prediction Based on Long-Term and Short-Term Memory Neural Network
Table 2
Forecast results of enterprise financial crisis.
| No. of enterprise | Actual number of alarms | | RMSE |
| 1 | 15 | 93.33% | 1.214e-6 | 2 | 8 | 87.50% | 1.037e-6 | 3 | 16 | 93.75% | 1.084e-6 | 4 | 7 | 100.00% | 1.039e-6 | 5 | 5 | 100.00% | 0.817e-6 | 6 | 12 | 91.67% | 1.216e-6 | 7 | 2 | 100.00% | 0.627e-6 | 8 | 9 | 88.89% | 1.042e-6 | 9 | 13 | 92.31% | 1.108e-6 | 10 | 7 | 100.00% | 1.015e-6 | 11 | 9 | 100.00% | 1.009e-6 | 12 | 5 | 100.00% | 0.913e-6 | 13 | 17 | 85.71% | 1.074e-6 | 14 | 7 | 100.00% | 1.017e-6 | 15 | 11 | 90.91% | 1.023e-6 | 16 | 8 | 87.50% | 1.063e-6 | 17 | 6 | 100.00% | 0.924e-6 | 18 | 22 | 95.45% | 1.011e-6 | 19 | 10 | 90.00% | 1.107e-6 | 20 | 7 | 100.00% | 1.212e-6 |
|
|