Research Article
The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone
Table 2
Resulting simulation modelling of the neural-fuzzy ship collision prevention system through subclustering generation method.
| | Range of influence | Squash factor | Accept ratio | Reject Ratio | Optim. Methods | Learning error | RMSE | MAE | SMAPE |
| | 0.3 | 1 | 0 | 0 | backpropa | 1.26·10−1 | 3.865·10−1 | 5.05·10−2 | 2.7·10−3 | | 0.3 | 1.125 | 0 | 0 | backpropa | 1.26·10−1 | 1.365·10−1 | 3.54·10−2 | 1.9·10−3 | | 0.3 | 1 | 0 | 0.15 | backpropa | 1.26·10−1 | 3.865·10−1 | 5.05·10−2 | 2.7·10−3 | | 0.3 | 1 | 0.4 | 0 | hibrid | 1.363·10−3 | 1.36·10−3 | 5.5·10−4 | 2.94·10−5 | | 0.3 | 1 | 0.4 | 0.15 | hibrid | 1.363·10−3 | 1.36·10−3 | 5.5·10−4 | 2.94·10−5 | | 0.3 | 1 | 0.4 | 0.3 | hibrid | 1.363·10−3 | 1.36·10−3 | 5.5·10−4 | 2.94·10−5 |
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