Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

AbstractIn analyzing and assessing the condition of dynamical systems, it is necessary to account for nonlinearity. Recent advances in computation have rendered previously computationally infeasibl...

Computer Science Engineering

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Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

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