Flowchart of the land subsidence modeling and simulation combining peridynamics and deep learning (IMAGE)
Caption
Based on using peridynamics to describe the physical processes of regional land subsidence, deep learning methods, including neural networks and Gaussian Process Regression, are employed to construct various boundary conditions that adapt to temporal developments and changes. This approach enables the optimization of boundary conditions within the peridynamics-based land subsidence model.
Credit
Beijing Zhongke Journal Publising Co. Ltd.
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CC BY