Development of Far-Source Earthquake Ground Motion Model Using Recurrent-Based Neural Network

Countries having low to medium seismicity experience rare large, far-distance earthquakes. The development of its ground motion model is difficult due to data scarcity. Thus, the applicability of the LSTM recurrent neural network is explored, due to its ability to predict sequential data. Earthquake...

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Bibliographic Details

Main Authors:	Nabilah, Abu Bakar, Beh Chween, An, Raudhah, Ahmadi
Format:	Article
Language:	en
Published:	Taylor & Francis Group 2025
Subjects:	G Geography (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/50249/1/Development%20of%20Far-Source%20Earthquake%20Ground%20Motion%20Model%20-%20Copy.pdf http://ir.unimas.my/id/eprint/50249/ https://www.tandfonline.com/doi/full/10.1080/13632469.2025.2515439 https://doi.org/10.1080/13632469.2025.2515439
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