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## Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.

#### İrfan MACİT [1]

Earthquake is one of the natural disaster types that suddenly breaks regular human life. Rescue activities in disasters are one of the most critical stages of modern disaster management. This management stage, as mentioned earlier, includes all the activities that need to be done after the disaster. Search And Rescue (SAR) teams perform one of these most critical activities after the earthquake post-disaster period. Search and rescue teams that will rescue and relief after a disaster are selected according to the criteria selected. Location layout selection problems are NP-Hard, and obtaining hard results is in the class of these problems. One of these criteria is the Risk Pressure Factor (RPF) used in determining the priorities of the risk areas. Determining the level of risk level is very difficult and also these are difficult to predict. In this study, it is aimed to estimate this parametric value by using an artificial neural network (ANN) method which is applied in many fields. And then in this study, a prediction model was constructed by using back propagation method which is a suitable propagation method in ANN method and results are obtained from the MATLAB program. The resulting risk-pressure factor (RPF) value can be used as a parameter in the proposed mathematical model. As a result of the study, the missing parameter of the mathematical model will be found in the estimation of a parameter belonging to the proposed mathematical model.

Artificial Neural Network, Mathematical Modelling, Risk Factor Prediction
 Bibtex @araştırma makalesi { forecasting484765, journal = {Turkish Journal of Forecasting}, issn = {}, eissn = {2618-6594}, address = {Giresun Üniversitesi Fen Edebiyat Fakültesi İstatistik Bölümü, Güre Yerleşkesi, 28100 Merkez, Giresun}, publisher = {Giresun Üniversitesi}, year = {2019}, volume = {03}, pages = {26 - 38}, doi = {10.34110/forecasting.484765}, title = {Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.}, key = {cite}, author = {Macit, İrfan} } APA Macit, İ . (2019). Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station. . Turkish Journal of Forecasting , 03 (1) , 26-38 . DOI: 10.34110/forecasting.484765 MLA Macit, İ . "Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station." . Turkish Journal of Forecasting 03 (2019 ): 26-38 Chicago Macit, İ . "Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.". Turkish Journal of Forecasting 03 (2019 ): 26-38 RIS TY - JOUR T1 - Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station. AU - İrfan Macit Y1 - 2019 PY - 2019 N1 - doi: 10.34110/forecasting.484765 DO - 10.34110/forecasting.484765 T2 - Turkish Journal of Forecasting JF - Journal JO - JOR SP - 26 EP - 38 VL - 03 IS - 1 SN - -2618-6594 M3 - doi: 10.34110/forecasting.484765 UR - https://doi.org/10.34110/forecasting.484765 Y2 - 2019 ER - EndNote %0 Turkish Journal of Forecasting Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station. %A İrfan Macit %T Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station. %D 2019 %J Turkish Journal of Forecasting %P -2618-6594 %V 03 %N 1 %R doi: 10.34110/forecasting.484765 %U 10.34110/forecasting.484765 ISNAD Macit, İrfan . "Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.". Turkish Journal of Forecasting 03 / 1 (Ağustos 2019): 26-38 . https://doi.org/10.34110/forecasting.484765 AMA Macit İ . Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.. TJF. 2019; 03(1): 26-38. Vancouver Macit İ . Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.. Turkish Journal of Forecasting. 2019; 03(1): 26-38. IEEE İ. Macit , "Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station.", Turkish Journal of Forecasting, c. 03, sayı. 1, ss. 26-38, Ağu. 2019, doi:10.34110/forecasting.484765