Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics

23 Dec 2019Jiayang XuKarthik Duraisamy

A data-driven framework is proposed towards the end of predictive modeling of complex spatio-temporal dynamics, leveraging nested non-linear manifolds. Three levels of neural networks are used, with the goal of predicting the future state of a system of interest in a parametric setting... (read more)

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