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Evolutionary optimization of neural network for landslide susceptibility assessment

Stochastic Environmental Research and Risk Assessment
This research investigates the optimization of artificial neural networks (ANNs) for landslide susceptibility assessment in the & Ouml;zvatan district of Kayseri province, Turkey. It expands upon existing approaches by incorporating the novel evolutionary algorithms : Backtracking Search Algorithm (BSA), Bernstein Search Differential Evolution ...
Karkinli, Ahmet Emin   +3 more
openaire   +2 more sources

Assessment of the regional landslide susceptibility based on GIS

SPIE Proceedings, 2007
Landslide is one of the major geological disasters in Minhe area bounded on Gansu and Qinghai. Based on field detailed investigation on landslide susceptibility of Minhe area, the said paper selected four principal controlling factors to establish digital assessment standard of regional landslide susceptibility via construction of mathematical model ...
Ze Sun   +4 more
openaire   +1 more source

“Landslide Susceptibility and Controlling Factors: An Assessment in the Fagnano Lake Basin”

Journal of South American Earth Sciences
Fil: Tassone, Alejandro Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Geociencias Básicas, Aplicadas y Ambientales de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales.
Fernando Almaraz   +4 more
openaire   +2 more sources

Abe Barek landslide and landslide susceptibility assessment in Badakhshan Province, Afghanistan

Landslides, 2015
Landslide is one of the most widely distributed mass movements in mountainous areas. With its wide spreading, abrupt, and seasonal characteristics, landslide always causes huge risks towards transportation, human settlements, industrial and mining plants, water resources facilities, and hydropower stations.
Jianqiang Zhang   +4 more
openaire   +1 more source

Landslide Susceptibility Assessment of Forest Roads*

2016
In last few decades, there has been an increasinginterest in using Landslide Susceptibility Maps (LSMs) especially in planningand decision making stages of landslide prevention and mitigation activities,as well as in landslide related studies. In forested areas, inappropriatelylocated roads potentially cause slope instability problems such as ...
Eker, Remzi, Aydin, Abdurrahim
openaire   +1 more source

Soft Computing Modeling in Landslide Susceptibility Assessment

2012
In the landslide literature, the most frequently encountered term is “landslide susceptibility”. The main reasons include: (i) developments in computer techniques and Geographical Information Systems; (ii) increasing awareness of the socio-economic significance of landslides and (iii) the complex nature of landslides.
C. Gokceoglu, E. Sezer
openaire   +1 more source

Landslide Susceptibility Assessment Mapping

2017
George D. Bathrellos   +2 more
openaire   +1 more source

Uncertainties of landslide susceptibility prediction considering different landslide types

Journal of Rock Mechanics and Geotechnical Engineering, 2023
Filippo Catani   +2 more
exaly  

An Overview on the Landslide Susceptibility Assessment Techniques

2008
Natural disasters and their consequences have considerable and destructive effects on human life, properties, infrastructures, and, of course, on environment. One of the most important natural hazards, landslide plays a very important role in these effects throughout the world.
openaire   +1 more source

Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model

Journal of Environmental Management, 2023
Haijia Wen, Deliang Sun, Jialan Zhang
exaly  

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