Neural Network for Earthquake Prediction Based on Automatic Clustering in Indonesia

JOIV: International Journal on Informatics Visualization

Ali Ridho Barakbah¹  Tri Harsono¹  Dedy Hidayat Kusuma²  Mirza Ghulam Rifqi²  Mohammad Nur Shodiq² 

[1] Electronic Engineering Polytechnic Institute of Surabaya;State Polytechnic of Banyuwangi

关键词: Artificial neural networks;    earthquake prediction;    cluster analysis;   

DOI  :  10.30630/joiv.2.1.106

学科分类：数学（综合）

来源: Politeknik Negeri Padang

【 摘 要 】

A model of artificial neural networks (ANNs) is presented in this paper to predict aftershock during the next five days after an earthquake occurrence in selected cluster of Indonesia with magnitude equal or larger than given threshold. The data were obtained from Indonesian Agency for Meteorological, Climatological and Geophysics (BMKG) and United States Geological Survey’s (USGS). Six clusters was an optimal number of cluster base-on cluster analysis implementing Valley Tracing and Hill Climbing algorithm, while Hierarchical K-means was applied for datasets clustering. A quality evaluation was then conducted to measure the proposed model performance for two different thresholds. The experimental result shows that the model gave better performance for predicting an aftershock occurrence that equal or larger than 6 Richter’s scale magnitude.

【 授权许可】

CC BY-SA