Maqola

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

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.

Mavzular

Advanced Data Processing Techniques Economic and Technological Systems Analysis

Identifikatorlar

DOI: 10.59048/2181-1105.1472

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