Research Article
Research on UUV Obstacle Avoiding Method Based on Recurrent Neural Networks
Table 1
The performance of all structures in training.
| Structure | CW-RNN96 | CW-RNN180 | LSTM18 | LSTM45 |
| Number of units in hidden layer | Rb=24 | Rb=45 | Lb=18 | Lb=45 | Number of parameters in hidden layer | 6177(mean) | 17253(mean) | 5832 | 19440 | Mean train time of each iteration/s | 6.36 | 11.85 | 6.44 | 18.29 | Initial error | 0.454 | 0.645 | 2.800 | 4.600 | Best MSE | 1.74×10−3 | 1.26×10−3 | 1.52×10−3 | 8.7×10−4 | Convergence generation | 15000 | 18000 | 9500 | 13500 |
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