The Use of Machine Learning Methods to Determine Risk Zones for Construction Disasters Caused by Wind - A Case Study in Poland

  • Ireneusz Laks Poznan University of Life Sciences
DOI: https://doi.org/http://doi.org/10.29227/IM-2024-02-62

Abstract

The increasing availability and use of artificial intelligence (AI) methods and algorithms have led to their widespread use in analyses aimed at identifying the decisive factors that influence the course of a studied phenomenon or process. The article describes the use of two Machine Learning (ML) methods, PCA and k-means, to identify parameters that may increase or decrease the risk of construction disasters caused by strong winds in Poland.
Published
2024-12-25
How to Cite
Laks, I. (2024). The Use of Machine Learning Methods to Determine Risk Zones for Construction Disasters Caused by Wind - A Case Study in Poland. Test, 2(2). https://doi.org/http://doi.org/10.29227/IM-2024-02-62
Issue
Vol 2 No 2 (2024): Inzynieria Mineralna
Section
ARTICLES

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