Land Subsidence Prediction Model Based on the Long Short-Term Memory Neural Network Optimized Using the Sparrow Search Algorithm

Land Subsidence Prediction Model Based on the Long Short-Term Memory Neural Network Optimized Using the Sparrow Search Algorithm

Land subsidence is a prevalent geological issue that poses significant challenges to construction projects. Consequently, the accurate prediction of land subsidence has emerged as a focal point of research among scholars and experts. Traditional mathematical models exhibited certain limitations in f...

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Bibliographic Details
Main Authors: Peicheng Qiu, Fei Liu, Jiaming Zhang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
sparrow search algorithm (SSA)
LSTM
land subsidence prediction
combined models
Online Access:https://www.mdpi.com/2076-3417/13/20/11156

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