THE EARTHQUAKE MAGNITUDE PREDICTION USED SEISMIC TIME SERIES AND MACHINE LEARNING METHODS

The occurrence of earthquakes, seismic wave propagation in the form of the earth's crust, to be measured, a lot of depends on variables such as the evaluation records obtained from measurement methods and metrics. Early to predict earthquakes are been very important to minimize the damage. Expert decision systems can be developed only using seismic time series analysis. In this study, seismic time series of earthquake are used received from Turkey Bogazici University Kandilli Observatory Earthquake Research Institute, Regional Earthquake Tsunami Monitoring Center. At this point, seismic time series comparative results are analyzed at prediction stage and test stage.