Cargando…
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles
Regular optimization techniques have been widely used in landslide-related problems. This paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf optimization (GWO) and biogeography-based optimization (BBO) metaheuristic algorithms in the Ardabil province, Iran. To...
Autores principales: | Moayedi, Hossein, Osouli, Abdolreza, Tien Bui, Dieu, Foong, Loke Kok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864636/ https://www.ncbi.nlm.nih.gov/pubmed/31671801 http://dx.doi.org/10.3390/s19214698 |
Ejemplares similares
-
A Novel Swarm Intelligence—Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility
por: Bui, Dieu Tien, et al.
Publicado: (2019) -
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic
por: Moayedi, Hossein, et al.
Publicado: (2019) -
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
por: Mehrabi, Mohammad, et al.
Publicado: (2020) -
Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning
por: Wang, Xianmin, et al.
Publicado: (2022) -
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
por: Shirzadi, Ataollah, et al.
Publicado: (2018)