Research map / Architectures and efficiency / RNNs and normalization
Predicting Hurricane Trajectories Using a Recurrent Neural Network
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the grid-based RNN instead of Sparse RNN | Hurricane trajectory forecasting · DEAN | MAE: 0.46115 -> 0.0842 | Helped |
| Use the grid-based RNN instead of Sparse RNN | Hurricane trajectory forecasting · SANDY | MAE: 0.42245 -> 0.0800 | Helped |
| Use the grid-based RNN instead of Sparse RNN | Hurricane trajectory forecasting · ISAAC | MAE: 0.56565 -> 0.0592 | Helped |
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