Cargando…
A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms
Landslide displacement prediction is considered as an essential component for developing early warning systems. The modelling of conventional forecast methods requires enormous monitoring data that limit its application. To conduct accurate displacement prediction with limited data, a novel method i...
Autores principales: | Zhou, Chao, Yin, Kunlong, Cao, Ying, Ahmed, Bayes, Fu, Xiaolin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940730/ https://www.ncbi.nlm.nih.gov/pubmed/29740077 http://dx.doi.org/10.1038/s41598-018-25567-6 |
Ejemplares similares
-
Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis
por: Cao, Ying, et al.
Publicado: (2020) -
Forecasting of landslide displacements using a chaos theory based wavelet analysis-Volterra filter model
por: Li, Yuanyao, et al.
Publicado: (2019) -
Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area
por: Zeng, Taorui, et al.
Publicado: (2022) -
A Novel Model for Landslide Displacement Prediction Based on EDR Selection and Multi-Swarm Intelligence Optimization Algorithm
por: Zhang, Junrong, et al.
Publicado: (2021) -
Numerical simulation data on landslide generated impulse waves affected by the reservoir geometry
por: Zhang, Yu, et al.
Publicado: (2019)