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I don't think you need a recurrent neural network for this. Why not just train a feedforward model with angle of attack etc as input and translation velocities as output? The size of the output will depend on how frequently you want updates to the velocities. e.g. if the update rate is 0.5 seconds and the network is predicting 2 seconds in advance it could ...


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How about a Temporal Convolutional Network? It feels like for such a long sequences having the recurrent/memory based approach is not too feasible. But, intuitively, the 1D convolutions should be able to pick out those rare features from your extremely long sequences. There are also claims that TCNs are comparable to RNNs in performance on common tasks, so ...


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