Research Article
GA-Based Early Warning Method for Rock Burst with Microseismic and Acoustic Emission in Steeply Inclined Coal Seam
Table 4
Optimal critical value and fitness of precursory characteristic parameters.
| Name of the monitoring system | Optimal critical value | Optimal critical value | Fitness value R |
| ARAMIS M/E MS monitoring system | | Ds | Fr | 0.609 | Optimal combination | 0.364 | 1.594 | | Suboptimal combination | DE | DF | 0.406 | 39.087 | 40.815 |
| KJ623 AE monitoring system | | DE | DH | | 1# sensor | 107.061 | 12.639 | 0.671 | 2# sensor | 26.585 | 7.644 | 0.423 | 3# sensor | 115.997 | 14.848 | 0.715 | 4# sensor | 105.237 | 12.367 | 0.515 |
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