Prediction of PGA in earthquake early warning using a long short-term memory neural network

• Published in: Geophysical journal international Vol. 234; no. 1; pp. 12 - 24
• Main Authors: Wang, Ao, Li, Shanyou, Lu, Jianqi, Zhang, Haifeng, Wang, Borui, Xie, Zhinan
• Format: Journal Article
• Language: English
• Published: Oxford University Press 01.07.2023
• Subjects: Time-series analysis; Neural networks fuzzy logic; Earthquake hazards; Earthquake early warning; Machine learning

SUMMARY Peak ground acceleration (PGA) is a key parameter used in earthquake early warning systems to measure the ground motion strength and initiate emergency protocols at major projects. The traditional P-wave peak displacement-dependent PGA prediction model (Pd-PGA model) tends to underestimate t...