AI-Driven Earthquake Prediction Using FEM and Framelet Collocation

Document Type

Conference Proceeding

Source of Publication

Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and Algorithms

Publication Date

12-4-2024

Abstract

The paper introduces an advanced algorithm designed for the analysis of earthquake events in the China region from 1900 to 2024. Leveraging advanced AI architecture and mathematical modeling, this algorithm synergizes numerical simulations using the finite element method (FEM) and the framelet collocation method to tackle complex systems of partial differential equations governing seismic wave propagation within a density-layered spherical Earth. Employing AI-driven techniques, the algorithm categorizes seismic events by employing a system of vectors and assesses their similarity to predefined categories. By correlating seismic events with the stress state of the Earth’s crust and the propagation of seismic waves, this method offers a reliable and stable framework for earthquake prediction in China.

ISBN

9798400717840

Publisher

ACM

First Page

46

Last Page

50

Disciplines

Engineering

Keywords

Earthquake prediction, Finite element method, Framelet collocation, Seismic wave propagation, AI algorithms

Indexed in Scopus

no

Open Access

no

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