Szczegóły publikacji
Opis bibliograficzny
Assessment of technical condition of prefabricated large-block building structures located in mining area using the Naive Bayes Classifier / Janusz RUSEK, Karol FIREK // W: SGEM 2016 : 16th international multidisciplinary scientific geoconference : ecology, economics, education and legislation : 30 June–6 July, 2016, Albena, Bulgaria : conference proceedings. Vol. 2, Ecology and environmental protection. — Sofia : STEF92 Technology Ltd., cop. 2016. — (International Multidisciplinary Scientific GeoConference SGEM ; ISSN 1314-2704). — ISBN: 978-619-7105-66-7. — S. 109–116. — Bibliogr. s. 116, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 99302 |
|---|---|
| Data dodania do BaDAP | 2016-08-10 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 16th international multidisciplinary scientific geoconference |
| Czasopismo/seria | International Multidisciplinary Scientific GeoConference SGEM |
Abstract
The paper presents the use of the Naive Bayes Classifier (NBC) to assess the technical condition of prefabricated large-block buildings subjects to mining effects in the Legnica-Głogów Copper District (LGOM). As part of the study, the classifier was created in the form of the Naive Bayes Network, using the data on the intensity of mining impacts and construction factors, collected for 126 analyzed buildings. The paper presents the possibility of using the created model for the standard classification, together with the probabilistic interpretation of the obtained results. The specification of the classification task, which involves the determination of the probability of the predicted category of the technical condition of the buildings, can be used to assess the extent of mining damage. © SGEM2016.
