A Landslide Displacement Prediction Model Based on the ICEEMDAN Method and the TCN–BiLSTM Combined Neural Network

A Landslide Displacement Prediction Model Based on the ICEEMDAN Method and the TCN–BiLSTM Combined Neural Network

Influenced by autochthonous geological conditions and external environmental changes, the evolution of landslides is mostly nonlinear. This article proposes a combined neural network prediction model that combines a temporal convolutional neural network (TCN) and a bidirectional long short-term memo...

Full description

Bibliographic Details
Main Authors: Qinyue Lin, Zeping Yang, Jie Huang, Ju Deng, Li Chen, Yiru Zhang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Water
Subjects:
landslide displacement prediction
temporal decomposition
neural network
geological disaster
Online Access:https://www.mdpi.com/2073-4441/15/24/4247

Internet

https://www.mdpi.com/2073-4441/15/24/4247

Similar Items