In this paper, we have tried to predict earthquake events in a cluster of seismic data on pacific ring of fire, using multivariate adaptive regression splines (MARS). The model is employed as either a predictor for a sequence prediction task, or a binary classifier for a sequence recognition problem, which could alternatively help to predict an event. Here, we explain that sequence prediction/r...

329 1 Marine Biosystems Research Center, Chiba University, Inage, Chiba, Japan *Corresponding author address: Prof. Katsumi Hattori, Marine Biosystems Research Center, Chiba University, Inage, Chiba, Japan; E-mail: [email protected] Despite its extreme importance and years of effort, practical short-term earthquake prediction still remains to be seen. However, research in earthquake...

Seismic sources are currently generated manually by experts, a process which is not efficient as the size of historical earthquake databases is growing. However, large historical earthquake databases provide an opportunity to generate seismic sources through data mining techniques. In this paper, we propose hierarchical clustering of historical earthquakes for generating seismic sources automat...

In this paper we introduce natural time analysis in financial markets. Due to the remarkable results of this analysis on earthquake prediction and the similarities of earthquake data to financial time series, its application in price prediction and algorithmic trading seems to be a natural choice. This is tested through a trading strategy with very encouraging results.

To identify a set of earthquake precursors for predicting earthquakes in different tectonic environments, a series of geo-scientific tools and methodologies based on rigorous assessment of multi-parameters have been developed by different researchers without complete success in earthquake prediction. The aim of earthquake forecasting involve multi-components analysis in implementing probabilist...

I outline a referenced empirical approach to the development of groundmotion prediction equations (GMPEs). The technique is illustrated by using it to develop GMPEs for eastern North America (ENA). The approach combines the ENA ground-motion database with the empirical prediction equations of Boore and Atkinson (2008) for the reference region of western North America (WNA). The referenced empir...

With more and more reservoirs have been and are being built all over the world, reservoir-induced earthquake has received a great deal of attention from geoscientists mainly because of its potential to damage constructions and to cause human losses. Based on the previous researches on the environmental conditions of reservoir-induced earthquake, a criteria hierarchy model has been constructed. ...

It is recently recognized that the ionosphere is very sensitive to seismic effects, and the detection of ionospheric perturbations associated with earthquakes, seems to be very promising for short-term earthquake prediction. We have proposed a possible use of VLF/LF (very low frequency (3-30 kHz) /low frequency (30-300 kHz)) radio sounding of the seismo-ionospheric perturbations. A brief histor...

Earthquake prediction is an area of research of great scientific and public fascination. The reason for this is not only that earthquakes can cause extremely large numbers of fatalities in a short time, but also because earthquakes can have a large social and economic impact on society. Earthquake prediction in the sense of making deterministic predictions about the place, time, and magnitude o...