PREDICTION USING FIRE DATA BASED ON MACHINE LEARNING ALGORITHMS
Oybek Zokirovich KoraboshevDigital technologies and Artificial intelligence development Research Institute, Tashkent, Uzbekistan. E-mail: [email protected]
Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Managementjournal2023en
Ochiq kirishBronza
ABI
Annotatsiya
In this article, the process of real-time prediction of the dynamics of fire development in non-stationary and gas-fired areas is carried out by developing a real-time prediction method based on artificial intelligence and deep machine learning (Deep Machine Learning) algorithms. The most commonly used KNN algorithm, CVM algorithm, Random Forest algorithm and Naive Bayes algorithm were used for prediction fire situations.
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