Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (3): 578-578.doi: 10.11947/j.AGCS.2025.20230470

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Spatiotemporal modelling and risk assessment of regional land subsidence based on recurrent neural network

Huijun LI()   

  1. College of Resource Environment, Chengdu University of Information Technology, Chengdu 610225, China
  • Received:2023-10-12 Online:2025-04-11 Published:2025-04-11
  • About author:LI Huijun (1990—), female, received her doctoral degree from Capital Normal University on December 2021, majors in land subsidence modelling and risk assessment. E-mail: lhjun811@163.com

CLC Number: