Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques

Four state-of-the-art metaheuristic algorithms including the genetic algorithm (GA), particle swarm optimization (PSO), differential evolutionary (DE), and ant colony optimization (ACO) are applied to an adaptive neuro-fuzzy inference system (ANFIS) for spatial prediction of landslide susceptibility...

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Detalles Bibliográficos
Autores principales: Mehrabi, Mohammad, Pradhan, Biswajeet, Moayedi, Hossein, Alamri, Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147714/
https://www.ncbi.nlm.nih.gov/pubmed/32204505
http://dx.doi.org/10.3390/s20061723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147714/
https://www.ncbi.nlm.nih.gov/pubmed/32204505
http://dx.doi.org/10.3390/s20061723

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