A non-intrusive neural network model order reduction algorithm for parameterized parabolic PDEs

Tao Zhang, Hui Xu, Lei Guo, Xinlong Feng

Abstract: Highlights•The initial condition makes MBNN efficient for PDEs without source term.•The MBNN can predict the solutions of a longer time interval than PDNN.•The fully discrete reduced order systems speed up the NN'as training process.