Research Article
INS/WSN-Integrated Navigation Utilizing LS-SVM and Filtering
Table 1
LS-SVM training results with the validation set.
| No. | | | Errors with validation set | (m) | (m) | Mean error (m) | (m/s) | (m/s) | Mean error (m/s) |
| 1 | 1 | 1 | 0.5991 | 0.2046 | 0.3558 | 0.1338 | 0.0864 | 0.1101 | 2 | 1 | 100 | 0.2354 | 0.1126 | 0.1711 | 0.0913 | 0.0968 | 0.0941 | 3 | 1 | 1000 | 0.2331 | 0.1067 | 0.1699 | 0.0932 | 0.0959 | 0.0946 | 4 | 30 | 100 | 0.2862 | 0.1067 | 0.1967 | 0.0924 | 0.0914 | 0.0919 | 5 | 30 | 1000 | 0.2542 | 0.1071 | 0.1807 | 0.0921 | 0.0926 | 0.0924 | 6 | 50 | 100 | 0.2871 | 0.1071 | 0.1972 | 0.0922 | 0.0912 | 0.0917 | 7 | 50 | 1000 | 0.2610 | 0.1073 | 0.1839 | 0.0918 | 0.0924 | 0.0921 | 8 | 100 | 100 | 0.2933 | 0.1068 | 0.2009 | 0.0923 | 0.0903 | 0.0913 | 9 | 100 | 1000 | 0.2641 | 0.1085 | 0.1852 | 0.0915 | 0.0923 | 0.0919 | 10 | 1000 | 1000 | 0.2903 | 0.1063 | 0.1452 | 0.0922 | 0.0900 | 0.0911 |
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