A study on the prediction of mountain slope displacement using a hybrid deep learning model

A study on the prediction of mountain slope displacement using a hybrid deep learning model

Abstract To address the challenges of large prediction errors and limited reliability in conventional modeling approaches, this study proposes a hybrid framework that integrates optimization and deep learning techniques. The method employs an Improved Whale Optimization Algorithm (IWOA) to fine-tune...

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Bibliographic Details
Main Authors: Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Applied Sciences
Subjects:
IWOA whale optimization algorithm
Long Short-Term Memory (LSTM) model
Gradient Boosting Decision Tree (GBDT)
GNSS
Landslide prediction
Online Access:https://doi.org/10.1007/s42452-025-07161-4
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https://doi.org/10.1007/s42452-025-07161-4

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