Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models
This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand, India, using advanced ensemble models that combined Radial Basis Function Networks (RBFN) with three ensemble learning... | Find, read and cite all the research you need on Tech Science Press
Authors
- Duc Dam Nguyen (ORCID: https://orcid.org/0000-0002-9376-9331)
- Quynh-Anh Thi Bui (ORCID: https://orcid.org/0000-0001-6429-7438)
- Hiep Van Le (ORCID: https://orcid.org/0000-0001-6609-5215)
- Binh Thai Pham (ORCID: https://orcid.org/0000-0001-9707-840X)
- Romulus Costache (ORCID: https://orcid.org/0000-0002-6876-8572)
- Manish Kumar Pandey (ORCID: https://orcid.org/0000-0001-8291-2043)
- Indra Prakash
- Nguyen Viet Tiep
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2024-11-07
- DOI
- https://doi.org/10.32604/cmes.2024.056576
- Citations
- 2
- Primary Topic
- Landslides and related hazards
- Type
- article
- Field-Weighted Citation Impact
- 1.42