W artykule przedstawiono koncepcję zastosowania metod uczenia maszynowego (Machine Learning), ze szczególnym uwzględnieniem drzew decyzyjnych w budowaniu i rozwijaniu zintegrowanych systemów geomonitoringu dla obiektów mostowych.
EN
Integrated structural monitoring of buildings, particularly bridges, requires the use of advanced technology for the collecting, processing and modelling of data. Known solutions used for the testing of the physical condition of engineering structures (the so-called Structural Health Monitoring) and the detecting of changes of their geometrical features (GMS - Geodetic Monitoring Systems) have started to be used in a combined way providing users with a complete overview of the status of the examined objects. As a result, expert systems have been developed, making it possible to detect changes in the trends of occurring phenomena and identifying the infl uence of various factors invoking hazards. Such solutions - often named „geomonitoring” - enable their users to effectively manage risks - especially related to the safety of people and infrastructure. The article presents a concept of the use of machine learning technologies with special regard to the decision trees in building and developing integrated structural geomonitoring systems to examine bridges.
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