UDC 614.842
The article discusses the application of machine learning (ML) technologies to study the characteristics of fires. The main theoretical and practical provisions of ML technology are considered in relation to the analysis of fire extinguishing parameters, taking into account their types such as “ordinary” and “protracted fire". Using the example of fires that occurred in the Magadan, Moscow regions and the Trans-Baikal Territory, the procedure for determining factors and their interrelations that have a significant impact on the fire extinguishing process is shown
machine learning, ordinary and protracted fire, statistical sampling, likelihood function
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