Earthquake magnitude prediction by adaptive neuro-fuzzy inference system (ANFIS) based on fuzzy C-means algorithm

被引：0
作者：
Masoomeh Mirrashid
机构：
[1] Islamic Azad University,Civil Engineering Department, Gonbad Kavoos Branch
来源：
Natural Hazards | 2014年 / 74卷
关键词：
Adaptive neuro-fuzzy inference system (ANFIS); Earthquake prediction; Moment magnitude; Fuzzy C-means algorithm (FCM);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper investigates the prediction of future earthquakes that would occur with magnitude 5.5 or greater using adaptive neuro-fuzzy inference system (ANFIS). For this purpose, the earthquake data between 1950 and 2013 that had been recorded in the region with 2°E longitude and 4°N latitude in Iran has been used. Thereupon, three algorithms including grid partition (GP), subtractive clustering (SC) and fuzzy C-means (FCM) were used to develop models with the structure of ANFIS. Since the earthquake data for the specified region had been reported on different magnitude scales, suitable relationships were determined to convert the magnitude scales into moment magnitude and all records uniformed based on the relationships. The uniform data were used to calculate seismicity indicators, and ANFIS was developed based on considered algorithms. The results showed that ANFIS-FCM with a high accuracy was able to predict earthquake magnitude.
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页码：1577 / 1593
页数：16
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