Simulating extrapolated dynamics with parameterization networks

9 Feb 2019James P. L. Tan

An artificial neural network architecture, parameterization networks, is proposed for simulating extrapolated dynamics beyond observed data in dynamical systems. Parameterization networks are used to ensure the long term integrity of extrapolated dynamics, while careful tuning of model hyperparameters against validation errors controls overfitting... (read more)

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