Selected Artificial Intelligence Methods in the Risk Analysis of Damage to Masonry Buildings Subject to Long-Term Underground Mining Exploitation

Selected Artificial Intelligence Methods in the Risk Analysis of Damage to Masonry Buildings Subject to Long-Term Underground Mining Exploitation

This paper presents an advanced computational approach to assess the risk of damage to masonry buildings subjected to negative kinematic impacts of underground mining exploitation. The research goals were achieved using selected tools from the area of artificial intelligence (AI) methods. Ultimately...

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Bibliographic Details
Main Authors: Leszek Chomacki, Janusz Rusek, Leszek Słowik
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Minerals
Subjects:
mining exploitation
masonry buildings
damage risk analysis
artificial intelligence
Bayesian network
Naive Bayes
Online Access:https://www.mdpi.com/2075-163X/11/9/958

Internet

https://www.mdpi.com/2075-163X/11/9/958

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