[M-GI27] Data-driven geosciences

[MGI27-P06] Data-driven approach for understanding and prediction of seismic activity

*Takane Hori¹, Tatsu Kuwatani^1,2, Toshiaki Omori³, Masato Okada⁴ (1.Japan Agency for Marine-Earth Science and Technology, 2.Japan Science and Technology Agency, 3.Graduate School of Engineering, Kobe University, 4.Graduate School of Frontier Sciences, The University of Tokyo)

Keywords:data-driven science

In order to understand crustal activity, in which various spatio-temporal phenomena co-exist, we try to understand in physical and material science point of view, and to use effective models which corresponds to hidden structure in real data with data-driven approach. In the presentation, we will introduce our data-driven approach for understanding and forcasting of crustal activity.