Enhanced PML Based on the Long Short Term Memory Network for the FDTD Method

Enhanced PML Based on the Long Short Term Memory Network for the FDTD Method

This paper proposes a new absorbing boundary condition (ABC) computation approach based on the deep learning technique. Benefited from the sequence dependence feature, the Long Short-Term Memory (LSTM) network is employed to replace the conventional perfectly matched layer (PML) ABC for the Finite-D...

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Bibliographic Details
Main Authors: He Ming Yao, Lijun Jiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
LSTM network
PML
deep learning
FDTD
Online Access:https://ieeexplore.ieee.org/document/8970334/

Internet

https://ieeexplore.ieee.org/document/8970334/

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