Academic Journal
Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines.
Title: | Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines. |
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Authors: | Chomacki, Leszek, Rusek, Janusz, Słowik, Leszek |
Source: | Energies (19961073); Jun2022, Vol. 15 Issue 11, p3958-3958, 23p |
Abstract: | This paper presents the results of comparative studies on the implementation of machine learning methods in the damage intensity assessment of masonry buildings. The research was performed on existing residential buildings, subjected to negative impacts of the industrial environment induced by coal mining plants during their whole technical life cycle. The research was justified on the grounds of safety of use, as well as potential energy losses and CO |
Subject Terms: | NAIVE Bayes classification, EARTHQUAKE hazard analysis, MASONRY, BAYESIAN analysis, SUPPORT vector machines, EXERCISE intensity, MACHINE learning, DWELLINGS |
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ISSN: | 19961073 |
DOI: | 10.3390/en15113958 |
Database: | Complementary Index |
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