Research Article
Enhanced Ant Colony Optimization with Dynamic Mutation and Ad Hoc Initialization for Improving the Design of TSK-Type Fuzzy System
Table 7
Performances of the fuzzy predictor designed by the ACODM-I and
in Example
3.
| Algorithms | () | () | () | () | () | () | () | () | ACODM-I () |
| Training Average | 0.0944 | 0.0391 | 0.0364 | 0.0173 | 0.0187 | 0.0184 | 0.0183 | 0.0188 | 0.0078 | Test Average | 0.0934 | 0.0386 | 0.0359 | 0.0171 | 0.0184 | 0.0182 | 0.0180 | 0.0186 | 0.0078 | Test STD | 0.0262 | 0.035 | 0.0347 | 0.0067 | 0.0044 | 0.0039 | 0.0037 | 0.0039 | 0.0012 | Test Minimum | 0.0364 | 0.0087 | 0.0102 | 0.0079 | 0.0095 | 0.0123 | 0.0097 | 0.0113 | 0.0058 | Test Maximum | 0.1553 | 0.0962 | 0.0962 | 0.0532 | 0.0337 | 0.0266 | 0.0294 | 0.0281 | 0.0119 |
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