1
Graduated master degree Computer software, Aras International Campus, University of Tabriz
2
Assistant Professor, Faculty of electrical & computer engineering, University of Tabriz, Tabriz
3
Assistant Professor Faculty of Natural sciences University of Tabriz
Abstract
Tabriz fault is one of the active and dangerous fault in the North West of Iran. The fault crosses the north of the city and put crossing towns at risk. The majority of marginal inhabitants of the city are settled there. Their buildings do not resist the slightest shake. Analysis of seismic data using polynomial regression for predicting future earthquake's magnitude and risks can be helpful to reduce disaster results. First of all input data are extracted and normalized. At the second step, model is obtained. In the third step, the magnitude of earthquake for the test data is predicated. In the fourth step, the performance of predicting earthquake magnitude is evaluated. At last, to estimate the magnitude of earthquakes using other attributes a formula is obtained that can be used to estimate the coefficients of each of the independent variables.
kheiri,A. , balafar,M. A. and Zamani,B. (2017). Prediction of Tabriz fault's earthquakes magnitude using polynomial regression. Emergency Management, 5(2), 77-82.
MLA
kheiri,A. , , balafar,M. A. , and Zamani,B. . "Prediction of Tabriz fault's earthquakes magnitude using polynomial regression", Emergency Management, 5, 2, 2017, 77-82.
HARVARD
kheiri A., balafar M. A., Zamani B. (2017). 'Prediction of Tabriz fault's earthquakes magnitude using polynomial regression', Emergency Management, 5(2), pp. 77-82.
CHICAGO
A. kheiri, M. A. balafar and B. Zamani, "Prediction of Tabriz fault's earthquakes magnitude using polynomial regression," Emergency Management, 5 2 (2017): 77-82,
VANCOUVER
kheiri A., balafar M. A., Zamani B. Prediction of Tabriz fault's earthquakes magnitude using polynomial regression. JOEM, 2017; 5(2): 77-82.
