Earthquake Risk Analysis in Azerbaijan Region Using Neural Network Method

Subject Areas : محاسبات نرم در علوم مهندسی

Sayyed javad Sayyedfattahi ¹ , Rouzbeh Dabiri ² , Milad Farshbaf Khalili ³

1 - Academic Staff- Director of the Department of Electrical Engineering-Islamic Azad university, Tabriz branch
2 - Department if Civil Engineering-Islamic Azad university-Tabriz branch-Tabriz-Iran
3 - Department of electrical engineering-Islamic Azad University- Tabriz branch-Tabriz-Iran

Received: 2021-07-11 Accepted : 2021-12-04 Published : 2022-08-23

Keywords: Neural network, Earthquake, Risk analysis, Artificial Intelligence, Azerbaijan Region,

Abstract :

In this research, earthquake prediction and hazard risk analysis in Azerbaijan region have been done using neural network method. The forecasting approach is based on the use of artificial intelligence based on seismic data from previous times over a period of 100 years. Five characteristics of an earthquake event are extracted from data from previous years. The earthquake prediction model is based on five selected features with three different algorithms with feed forward neural network. Validation results indicate the high ability of the model to predict earthquakes in the study area. The results of the created models have been used to analyze the risk in the region of Azerbaijan. According to the obtained results, the region of Azerbaijan is prone to high earthquakes, which necessitates strict observance of standards in the construction of buildings. The results of the present study show that the Bayesian algorithm has the best performance in predicting earthquake risk.