Model order reduction assisted by deep neural networks (ROM-net)

Abstract In this paper, we propose a general framework for projection-based model order reduction assisted by deep neural networks. The proposed methodology, called ROM-net , consists in using deep learning techniques to adapt the reduced-order model to a stochastic input tensor whose nonparametrize... View More