Research Article
Distributed Gaussian Granular Neural Networks Ensemble for Prediction Intervals Construction
Table 2
The validation result of the number of local networks.
| B | PICP | MPIW | MAE | PPI | T(s) |
| 1 | 0.9167 | 0.4261 | 0.1191 | 0.1338 | 5.46 | 2 | 0.9333 | 0.4168 | 0.1093 | 0.1282 | 11.34 | 3 | 0.9667 | 0.4164 | 0.1039 | 0.1201 | 15.96 | 4 | 0.9500 | 0.4283 | 0.1096 | 0.1248 | 20.53 | 5 | 0.9389 | 0.4045 | 0.1059 | 0.1239 | 25.19 | 6 | 0.9500 | 0.4180 | 0.1033 | 0.1217 | 33.04 | 7 | 0.9333 | 0.4155 | 0.1127 | 0.1291 | 37.82 | 8 | 0.9444 | 0.4175 | 0.1154 | 0.1292 | 42.37 | 9 | 0.9666 | 0.4325 | 0.1027 | 0.1140 | 47.32 | 10 | 0.9667 | 0.4212 | 0.1077 | 0.1173 | 52.54 | 11 | 0.9667 | 0.4153 | 0.1060 | 0.1153 | 56.25 | 12 | 0.9445 | 0.4174 | 0.1062 | 0.1178 | 61.78 | 13 | 0.9555 | 0.4124 | 0.1056 | 0.1141 | 67.58 | 14 | 0.9667 | 0.4174 | 0.1010 | 0.1146 | 73.41 | 15 | 0.9500 | 0.4229 | 0.1092 | 0.1167 | 79.41 | 16 | 0.9722 | 0.4151 | 0.1129 | 0.1116 | 82.42 | 17 | 0.9667 | 0.4250 | 0.1008 | 0.1159 | 87.53 | 18 | 0.9667 | 0.4098 | 0.0967 | 0.1122 | 92.82 | 19 | 0.9722 | 0.4148 | 0.1073 | 0.1131 | 99.04 | 20 | 0.9833 | 0.4128 | 0.1056 | 0.1141 | 102.8 |
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