Inversion Analysis of Stress Fields Based on the LSTM–Attention Neural Network

Conventional geostress methods of measurement cannot reveal an accurate geostress field distribution in an engineering area, limited by both cost and prevailing geological conditions. This study introduces an improved LSTM–Attention neural network for in situ stress field inversion. By integrating l...

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Detalhes bibliográficos

Principais autores:	Jianxin Wang, Liming Zhang, Junyu Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Applied Sciences
Assuntos:	LSTM neural network attention mechanism ground stress field modeling rockburst risk assessment
Acesso em linha:	https://www.mdpi.com/2076-3417/15/17/9567
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