PREDICTION USING FIRE DATA BASED ON MACHINE LEARNING ALGORITHMS

Authors

Oybek Zokirovich Koraboshev, Digital technologies and Artificial intelligence development Research Institute, Tashkent, Uzbekistan. E-mail: koraboshevoybek@gmail.com.Follow

Abstract

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.

First Page

57

Last Page

63

References

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Recommended Citation

Koraboshev, Oybek Zokirovich (2023) "PREDICTION USING FIRE DATA BASED ON MACHINE LEARNING ALGORITHMS," Chemical Technology, Control and Management: Vol. 2023: Iss. 3, Article 8.
DOI: https://doi.org/10.59048/2181-1105.1472