1. PhyGeoNet: physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain;Gao;J. Comput. Phys.,2021
2. Deep sparse rectifier neural networks. Paper presented at the fourteenth international conference on artificial intelligence and statistics;Glorot,2011
3. Deep Convolutional Recurrent Autoencoders for Learning Low-Dimensional Feature Dynamics of Fluid Systems;Gonzalez,2018
4. Learning to forget: continual prediction with LSTM;Gers;Paper presented at the 9th International Conference on Artificial Neural Networks, Edinburgh, UK,1999
5. Densely connected convolutional networks;Huang,2017