Research Article
Research on the Forecast of the Combined GRU Model Based on the Optimized Bat Algorithm in the Bank Transaction Volume
Table 3
Comparison of optimization accuracy in 30 dimensions among all algorithms.
| Function | BA | HSBA | BAGW | dBA | SABA | ESCBA |
| f1 | Best | 17.7596 | 4.2553 | 0.9103 | 3.251 | 1.30E − 10 | 1.33E − 14 | Worst | 19.9668 | 13.8567 | 19.9652 | 19.9668 | 5.09E − 10 | 2.45E − 10 | Mean | 19.7401 | 9.8034 | 19.004 | 4.5794 | 2.87E − 10 | 3.53E − 11 | Std | 0.5893 | 2.3872 | 3.8096 | 3.2719 | 7.32E − 11 | 5.53E − 11 |
| f2 | Best | 70.93 | 5.71E − 03 | 1.30E − 04 | 4.93E − 10 | 4.44E − 16 | 0 | Worst | 299.824 | 0.0918 | 0.0224 | 0.0221 | 0.0295 | 1.11E − 15 | Mean | 167.9349 | 0.033 | 5.68E − 03 | 7.68E − 03 | 0.0037 | 3.91E − 16 | Std | 56.9986 | 0.0238 | 7.52E − 03 | 7.92E − 03 | 0.007 | 3.89E − 16 |
| f3 | Best | 317.0197 | 169.1424 | 49.2816 | 115.9538 | 8.88E − 15 | 0 | Worst | 806.1842 | 406.9305 | 236.1797 | 288.302 | 0.995 | 2.27E − 13 | Mean | 526.4121 | 278.6654 | 139.8219 | 218.8277 | 0.0404 | 2.96E − 14 | Std | 133.5952 | 61.605 | 39.6879 | 50.9537 | 0.1969 | 5.94E − 01 |
| f4 | Best | 0.0101 | 2.05E − 04 | 4.75E − 04 | 7.90E − 09 | 1.70E − 19 | 1.90E − 27 | Worst | 0.194 | 0.0104 | 4.65E − 03 | 2.30E − 05 | 5.17E − 18 | 3.39E − 20 | Mean | 0.0543 | 2.39E − 03 | 2.27E − 03 | 1.61E − 06 | 1.31E − 18 | 1.36E − 21 | Std | 0.0465 | 2.56E − 03 | 8.60E − 04 | 4.65E − 06 | 8.66E-19 | 6.78E − 02 |
| f5 | Best | 1.0537 | 0.1848 | 0.2578 | 1.30E − 03 | 5.40E − 10 | 7.32E − 14 | Worst | 5.82E + 05 | 21.1952 | 258.5819 | 0.9999 | 2.91E − 04 | 8.23E − 06 | Mean | 2.41E + 04 | 4.1951 | 24.0055 | 0.0728 | 1.70E − 05 | 3.73E − 07 | Std | 1.16E + 05 | 4.8816 | 60.459 | 0.1988 | 5.52E − 05 | 1.64E − 06 |
| f6 | Best | −78.6817 | −276.2715 | −261.0051 | −290.2633 | −330 | −330 | Worst | 63.6291 | −196.6759 | −149.453 | −162.8861 | −329.005 | −330 | Mean | −2.8249 | −224.5311 | −198.5203 | −237.9454 | −329.9801 | −330 | Std | 33.7651 | 20.2644 | 37.5409 | 26.9607 | 0.1407 | 6.46E − 14 |
| f7 | Best | 414.8215 | 414.4444 | 413.0764 | 407.6861 | 390.0006 | 390 | Worst | 2.36E + 03 | 1.19E + 03 | 9.54E + 03 | 706.0761 | 467.0134 | 390 | Mean | 660.7911 | 524.9373 | 1.40E + 03 | 468.4775 | 408.4709 | 390 | Std | 438.4634 | 175.1471 | 2.12E + 03 | 101.6758 | 15.6599 | 2.54E − 08 |
| f8 | Best | −442.9437 | −333.7772 | −449.6903 | −449.7759 | −450 | −450 | Worst | 3.46E + 03 | 2.90E + 03 | −448.4075 | −449.0023 | −449.5068 | −449.9856 | Mean | 571.2265 | 496.6318 | −449.1955 | −449.4091 | −449.9609 | −449.9969 | Std | 1.04E + 03 | 915.4484 | 0.3811 | 0.2215 | 0.0791 | 4.77E-03 |
| f9 | Best | −449.986 | −449.9996 | −449.9992 | −450 | −450 | −450 | Worst | −449.8731 | −449.9402 | −449.9953 | −450 | −450 | −450 | Mean | −449.9543 | −449.9941 | −449.9977 | −450 | −450 | −450 | Std | 0.0303 | 0.0121 | 8.61E − 04 | 6.21E − 06 | 1.20E − 13 | 4.64E − 14 |
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