RESEARCH OUTCOMES / AI × Earthquake Forecasting

人工智能与地震预测

从地震目录与多源观测中学习规律，探索可检验的概率预测方法。

06项代表性成果
按在线发表时间从新到旧

PUBLICATIONS

A Spatio-Temporal Neural Kernel Function Model for Earthquake Clustering: Bridging ETAS and Neural Point Processes

作者: Chengxiang Zhan, Stephen Wu, Jiancang Zhuang, Shichen Gao
关键词: Neural point process · ETAS Model · statistical seismology · seismicity modeling

Flexible seismicity modeling with neural modulated renewal processes

作者: Chengxiang Zhan, Jiancang Zhuang, Stephen Wu
关键词: Neural point process · ETAS Model · statistical seismology · seismicity modeling

Integrating artificial intelligence and geophysical insights for earthquake forecasting: A cross-disciplinary review

作者: Ying Zhang; Congcong Wen; Chengxiang Zhan; Didier Sornette
关键词: Earthquake forecasting · Machine learning · Deep learning · Geophysics · Statistical Seismology · Precursor

Forecasting future earthquakes with deep neural networks: application to California

作者: Ying Zhang; Chengxiang Zhan; Qinghua Huang; Didier Sornette
关键词: Machine learning · Probabilistic forecasting · Earthquake interaction, forecasting and prediction · Statistical seismology

ETAS-inspired Spatio-temporal convolutional (STC) model for next-day earthquake forecasting

作者: Chengxiang Zhan, Shichen Gao, Ying Zhang, Jiawei Li, Qingyan Meng
关键词: Convolutional neural network · ETAS Model · statistical seismology · seismicity modeling

Seismically Informed Reference Models Enhance AI‐Based Earthquake Prediction Systems

作者: Ying Zhang; Chengxiang Zhan; Qinghua Huang; Didier Sornette
关键词: Earthquake prediction · Artificial neural networks · Seismically informed reference models · Spatially varying Poisson model · Loss functions · Molchan diagram