# Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/logistic-regression-versus-artificial-neural-networks-landslide-susceptibility/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Francesco Falaschi,F. Giacomelli,Paolo Roberto Federici,Alberto Puccinelli,G. D’Amato Avanzi,Alberto de Castro Pochini,Adriano Ribolini |
| Citations | 109 |
| DOI | 10.1007/s11069-009-9356-5 |
| Fields | Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2039427429 |
| Type | article |
| Year | 2009 |

## Paper authors

- [Alberto de Castro Pochini](https://scholariq.org/researchers/alberto-de-castro-pochini/)

## Paper primary topic

- [Landslides and related hazards](https://scholariq.org/topics/landslides-and-related-hazards/)

## Paper topics

- [Landslides and related hazards](https://scholariq.org/topics/landslides-and-related-hazards/)
- [Tree Root and Stability Studies](https://scholariq.org/topics/tree-root-and-stability-studies/)
- [Fire effects on ecosystems](https://scholariq.org/topics/fire-effects-on-ecosystems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.