Research Article
Distributed Gaussian Granular Neural Networks Ensemble for Prediction Intervals Construction
Table 1
The validation result of the number of local networks.
| B | PICP | MPIW | MAE | PPI | T(s) |
| 1 | 0.5667 | 0.4785 | 0.3695 | 0.4131 | 5.24 | 2 | 0.6000 | 0.4490 | 0.2338 | 0.3079 | 10.33 | 3 | 0.8833 | 0.5074 | 0.1817 | 0.1893 | 15.38 | 4 | 0.8500 | 0.5012 | 0.1756 | 0.1986 | 21.14 | 5 | 0.8000 | 0.5196 | 0.1807 | 0.1904 | 25.63 | 6 | 0.8667 | 0.5145 | 0.1691 | 0.1880 | 30.73 | 7 | 0.8667 | 0.4927 | 0.1611 | 0.1855 | 35.82 | 8 | 0.9333 | 0.4856 | 0.1385 | 0.1590 | 41.05 | 9 | 0.9333 | 0.4981 | 0.1365 | 0.1535 | 46.35 | 10 | 0.9333 | 0.4935 | 0.1328 | 0.1528 | 50.94 | 11 | 0.9667 | 0.5023 | 0.1356 | 0.1509 | 57.44 | 12 | 0.9500 | 0.5284 | 0.1485 | 0.1560 | 62.65 | 13 | 0.9667 | 0.5143 | 0.1680 | 0.1533 | 67.53 | 14 | 0.9000 | 0.4976 | 0.1516 | 0.1558 | 72.88 | 15 | 0.9333 | 0.5061 | 0.1528 | 0.1576 | 79.61 | 16 | 0.9167 | 0.5101 | 0.1459 | 0.1660 | 84.01 | 17 | 0.9333 | 0.4956 | 0.1576 | 0.1617 | 90.44 | 18 | 0.9167 | 0.5064 | 0.1574 | 0.1588 | 94.85 | 19 | 0.9000 | 0.5135 | 0.1371 | 0.1524 | 101.9 | 20 | 0.9167 | 0.5035 | 0.1405 | 0.1630 | 109.1 |
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