Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susceptibility maps that can be used by land-use manage...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:Int J Environ Res Public Health
المؤلفون الرئيسيون: Nhu, Viet-Ha, Shirzadi, Ataollah, Shahabi, Himan, Singh, Sushant K., Al-Ansari, Nadhir, Clague, John J., Jaafari, Abolfazl, Chen, Wei, Miraki, Shaghayegh, Dou, Jie, Luu, Chinh, Górski, Krzysztof, Thai Pham, Binh, Nguyen, Huu Duy, Ahmad, Baharin Bin
التنسيق: Artigo
اللغة:Inglês
منشور في: MDPI 2020
الموضوعات:
Article
الوصول للمادة أونلاين:https://ncbi.nlm.nih.gov/pmc/articles/PMC7215797/
https://ncbi.nlm.nih.gov/pubmed/32316191
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph17082749
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