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Prediction of landslide susceptibility through ANN models optimized by evolutionary algorithms

Mehmet Akif Cifci1,2, Xin Hu3, Batuhan Öney4

  • 1Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Bandırma Onyedi Eylül University, Bandırma, Balıkesir, Turkey.

Scientific Reports
|February 17, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Artificial neural networkHybrid algorithmsLandslideMappingOptimization algorithm

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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