Study on Land Subsidence Simulation Based on a Back-Propagation Neural Network Combined with the Sparrow Search Algorithm

Study on Land Subsidence Simulation Based on a Back-Propagation Neural Network Combined with the Sparrow Search Algorithm

Rapid simulation of land subsidence can provide an effective means of facilitating its management and control. This paper innovatively introduced a back-propagation (BP) neural network subsidence simulation model which was optimized by the sparrow search algorithm (SSA), hereinafter referred to as t...

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Bibliographic Details
Main Authors: Xueqi Zhu, Wantian Zhu, Lin Guo, Yinghai Ke, Xiaojuan Li, Lin Zhu, Ying Sun, Yaxuan Liu, Beibei Chen, Jinyan Tian, Huili Gong
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
back-propagation neural network
sparrow search algorithm
Google Earth Engine
subsidence simulation
multiscale
sensitivity analysis
Online Access:https://www.mdpi.com/2072-4292/15/12/2978

Internet

https://www.mdpi.com/2072-4292/15/12/2978

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