A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems

no code implementations • 23 Sep 2019 • Wei Cai, Xiaoguang Li, Lizuo Liu

In this paper, we propose a phase shift deep neural network (PhaseDNN), which provides a uniform wideband convergence in approximating high frequency functions and solutions of wave equations.

PhaseDNN - A Parallel Phase Shift Deep Neural Network for Adaptive Wideband Learning

no code implementations • 3 May 2019 • Wei Cai, Xiaoguang Li, Lizuo Liu

Due to the phase shift, each DNN achieves the speed of convergence as in the low frequency range.