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LSTM-based approach for predicting periodic motions of an impacting system via transient dynamics.

Neural networks : the official journal of the International Neural Network Society
Dynamically impacting systems are characterised with inherent instability and complex non-linear phenomena which makes it practically difficult to predict the steady state response of the system at transient periods. This study investigates the abili...