Interval LSTM and NODE models trained with cascade or joint strategies deliver uncertainty-aware predictions for system identification via interval arithmetic.
Wang, A new concept using lstm neural networks for dynamic system identification, in: 2017 American control conference (ACC), IEEE, 2017, pp
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Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
Interval LSTM and NODE models trained with cascade or joint strategies deliver uncertainty-aware predictions for system identification via interval arithmetic.