📄 Abstract
In this article, a preliminary assessment of fire hazards in public buildings is given.and the effectiveness of artificial intelligence (hereinafter - AI) models in the forecasting process. According to the results, the artificial neural network model increased accuracy by 22-25% compared to classical statistical regression models, and the speed of early risk detection by 30-35%. It has also been scientifically determined that the possibility of real-time analysis can reduce the impact of the human factor and accelerate the evacuation process.
🏷️ Keywords
📚 How to Cite:
A.N.Sodikov , SCIENTIFIC STUDY OF THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE MODELS IN PREDICTING FIRE HAZARDS IN PUBLIC BUILDINGS , Volume 11 , Issue 10, October 2025, EPRA International Journal of Multidisciplinary Research (IJMR) ,