Research Article
A New Stochastic Technique for Painlevé Equation-I Using Neural Network Optimized with Swarm Intelligence
Table 6
Comparative analysis of the results.
| | Parameters | | | | PSO | PSO-ASA | PSO | PSO-ASA |
| | GMAE | | | | | | MF | | | | | | MAE ≤ 10-02 | 21% | 100% | 22% | 100% | | MAE ≤ 10-03 | 01% | 100% | 00% | 099% | | MAE ≤ 10-04 | 00% | 095% | 00% | 083% | | FA ≤ 10-03 | 50% | 100% | 55% | 100% | | FA ≤ 10-04 | 05% | 100% | 05% | 100% | | FA ≤ 10-05 | 01% | 099% | 00% | 098% | | MIN-ET | 075.23 s | 079.29 s | 132.42 s | 157.14 s | | MAX-ET | 103.15 s | 113.74 s | 145.67 s | 191.32 s | | M-ET | 076.93 s | 092.17 s | 142.43 s | 183.57 s | | STD-ET | 002.93 s | 007.32 s | 002.02 s | 007.62 s |
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