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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Dades bibliogràfiques

Autors principals:	He Ming Yao, Lijun Jiang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2020-01-01
Col·lecció:	IEEE Access
Matèries:	LSTM network PML deep learning FDTD
Accés en línia:	https://ieeexplore.ieee.org/document/8970334/
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