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.
| Mualliflar | Oybek Zokirovich Koraboshev |
|---|---|
| Jurnal | Кимёвий технология. Назорат ва бошқарув |
| Nashr sanasi | 2023-06-29 |
| Jild | 2023 |
| Son | 3 |
| Betlar | 57-63 |
| Til | en |
| DOI | 10.59048/2181-1105.1472 |
DOI: 10.59048/2181-1105.1472 · Maqolaning asl sahifasi · PDF
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