Research Article
An Obstacle Recognizing Mechanism for Autonomous Underwater Vehicles Powered by Fuzzy Domain Ontology and Support Vector Machine
Table 3
The performance result of SVMs, BP algorithm, and the proposed scheme.
| Obstacles classifier (object sample) | BP training time (s) | SVM training time (s) | Proposed system training time | BP testing time (s) | SVM testing time (s) | Proposed system testing time | BP accuracy | SVM accuracy | Proposed system accuracy |
| 5–24 | 72.86 | 15.29 | 10.43 | 0.28 | 0.19 | 0.09 | 86.17% | 90.87% | 97.91% | 10–24 | 153.76 | 19.93 | 9.47 | 3.91 | 2.28 | 0.14 | 85.12% | 86.73% | 98.17% | 20–24 | 217.91 | 67.35 | 33.52 | 12.83 | 6.12 | 1.26 | 84.94% | 89.90% | 95.77% | 5–36 | 141.26 | 47.82 | 26.51 | 2.93 | 1.06 | 0.07 | 87.95% | 91.78% | 98.31% | 10–36 | 248.26 | 78.11 | 50.09 | 11.96 | 7.18 | 2.33 | 86.21% | 92.99% | 97.47% |
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