Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Earthquake Prediction for The Marmara Region of Düzce Province Using Artificial Intelligence

Version 1 : Received: 8 June 2023 / Approved: 9 June 2023 / Online: 9 June 2023 (05:21:52 CEST)

A peer-reviewed article of this Preprint also exists.

Pura, T.; Güneş, P.; Güneş, A.; Hameed, A.A. Earthquake Prediction for the Düzce Province in the Marmara Region Using Artificial Intelligence. Appl. Sci. 2023, 13, 8642. Pura, T.; Güneş, P.; Güneş, A.; Hameed, A.A. Earthquake Prediction for the Düzce Province in the Marmara Region Using Artificial Intelligence. Appl. Sci. 2023, 13, 8642.

Abstract

An earthquake is a natural event by its general definition. This natural event is a disaster that causes significant damage, loss of life, and other economic effects that will damage the state. The possibility of predicting a natural event such as an earthquake will minimize the reasons mentioned. Data collection, data processing, and data evaluation were carried out in this study. Earthquake forecasting was performed using the data and the RNN (Recurrent Neural Network) method. The study was carried out on seismic data with a magnitude of 3.0 and above belonging to Düzce Province between 1990 and 2022. In order to increase the learning potential of the method, the b and d values of the earthquake were calculated and included in the data set, except for the earthquake magnitude. The determination of earthquakes in a specific time interval in regions of Turkey, the classification of earthquake-related seismic data using artificial neural networks, and the production of predictions for the future reveal the importance of this study.

Keywords

Earthquake; Recurrent neural network; Prediction; Artificial neural network

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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