Intelligent Earthquake Prediction System Based On Neural Network

Authors: Emad Amar, Tawfik Khattab, Fatma Zada

Abstract:

Predicting earthquakes is an important issue in the study of geography. Accurate prediction of earthquakes can help people to take effective measures to minimize the loss of personal and economic damage, such as large casualties, destruction of buildings and broken of traffic, occurred within a few seconds. United States Geological Survey (USGS) science organization provides reliable scientific information about Earthquake Existed throughout history & the Preliminary database from the National Center Earthquake Information (NEIC) show some useful factors to predict an earthquake in a seismic area like Aleutian Arc in the U.S. state of Alaska. The main advantage of this prediction method that it does not require any assumption, it makes prediction according to the future evolution of the object's time series. The article compares between simulation data result from trained BP and RBF neural network versus actual output result from the system calculations. Therefore, this article focuses on analysis of data relating to real earthquakes. Evaluation results show better accuracy and higher speed by using radial basis functions (RBF) neural network.

Keywords: BP neural network, Prediction, RBF neural network.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337607

References:

[1] Amr S. Elnashai, Luigi Di Sarno” Fundamentals of Earthquake Engineering” A John Wiley & Sons, Ltd, Publication, 2008.
[2] S. G. Chern, R. F. Hu” FUZZ-ART neural networks for predicting chichi earthquake induced liquefaction in yuan-lin area” Journal of Marine Science and Technology, Vol. 10, No. 1, pp. 21-32, 2002.
[3] YueLiu, HuiLiu ” Extraction of If-Then Rules from Trained Neural Network and Its Application to Earthquake Prediction” the Third IEEE International Conference on Cognitive Informatics (ICCI’04) 2004.
[4] Yue Liu, Yuan Li” Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction” ISNN 2005, LNCS 3496, pp. 532.537, 2005.
[5] WANG Ying, CHEN Yi ” The Application of RBF Neural Network in Earthquake Prediction” Third International Conference on Genetic and Evolutionary Computing 2009.
[6] Hojjat Adeli, Ashif Panakkat” A probabilistic neural network for earthquake magnitude prediction” H. Adeli, A. Panakkat / Neural Networks 22, 1018_1024, 2009.
[7] Fangzhou Xu, Xianfeng Song” Neural Network Model for Earthquake Prediction using DMETER Data and Seismic Belt Information” Second WRI Global Congress on Intelligent Systems, 2010.
[8] CHEN Yi , ZHANG Jinkui” Research on Application of Earthquake Prediction Based on Chaos Theory ” IEEE,2010.
[9] Guang-yu Geng, Chuang-hui Li” Research on Seismo-Ionospheric Anomalies Using Artificial Neural Network” IEEE,2010.
[10] HUANG Sheng-Zhong” The prediction of the earthquake based on neutral networks”, International Conference on Computer Design and Applications (ICCDA), 2010.
[11] Habib Shah, Rozaida Ghazali, and Nazri Mohd Nawi ”Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction”, Journal of Computing, 2011.
[12] K. Tomiyasu ”lunar, solar and earthquake projected positions of 138 mag. 8.25-5.2 events in california from 1769 to 2004” IEEE,2012.
[13] J. Reyes, A. Morales-Esteban” Neural networks to predict earthquakes in Chile” Reyes et al. / Applied Soft Computing 13, 1314–1328, 2013.
[14] Jui-Pin Wang1, Yun Xu” Earthquake statistics and a FOSM seismic hazard analysis for a nuclear power plant in Taiwan”
[15] Zhuowei Hu, Lai Wei “Spatial Prediction of Earthquake-Induced Secondary Landslide Disaster in Beichuan County Based on GIS” Research Journal of Applied Sciences, Engineering and Technology 6(20): 3828-3837, 2013.
[16] S. Niksarlioglu, F. Kulahci “An Artificial Neural Network Model for Earthquake Prediction and Relations between Environmental Parameters and Earthquakes” World Academy of Science, Engineering and Technology, 2013.
[17] Adel Moatti, Mohammad Reza Amin-Nasseri” Pattern Recognition on Seismic Data for Earthquake Prediction Purpose” International Conference on Environment, Energy, Ecosystems and Development, 2013
[18] A. Morales-Esteban, F. Martínez-Álvarez ”Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence” A. Morales-Esteban et al. / Tectonophysics 593, 121–134, 2013.
[19] Feiyan Zhou, Xiaofeng Zhu “Earthquake Prediction Based on LM-BP Neural Network” Proceedings of the 9th International Symposium on Linear Drives for Industry Applications, Volume 1, 2009.
[20] USGS National Earthquake Information Center, http://earthquake.usgs.gov.
[21] David Nettleton” Commercial Data Mining Processing, Analysis and Modeling for Predictive Analytics Projects” Elsevier Inc, 2014.
[22] Mark Hudson Beale,Martin T. Hagan” Neural Network Toolbox™ User’s Guide R2013b” The MathWorks, 2013.