Research Article
Application of CMAC Neural Network to Solar Energy Heliostat Field Fault Diagnosis
Table 8
Diagnosis results for distorted training samples given in Table
7.
| No. | | | | | | | |
| 1 | 0.778 | 0.113 | 0.236 | 0.125 | 0 | 0.111 | 0 | 2 | 0.111 | 0.790 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.458 | 0.818 | 0 | 0.347 | 0.111 | 4 | 0.222 | 0 | 0.236 | 0.875 | 0.1 | 0 | 0 | 5 | 0 | 0 | 0 | 0.216 | 0 | 0 | 0.861 | 6 | 0.111 | 0.226 | 0.667 | 0.182 | 0 | 0.125 | 0 | 7 | 0.111 | 0 | 0 | 0.125 | 0.90 | 0 | 0.111 | 8 | 0.111 | 0.226 | 0.569 | 0.091 | 0 | 0.778 | 0 | 9 | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.236 | 0.909 | 0 | 0.125 | 0 |
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