Aftershock ground motion prediction model based on conditional convolutional generative adversarial networks

Jiaxu Shen; Bo Ni; Yinjun Ding; Jiecheng Xiong; Zilan Zhong; Jun Chen

doi:10.1016/j.engappai.2024.108354

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Aftershock ground motion prediction model based on conditional convolutional generative adversarial networks

Jiaxu Shen Bo Ni Yinjun Ding Jiecheng Xiong Zilan Zhong Jun Chen

Year: 2024 Journal: Engineering Applications of Artificial Intelligence Vol: 133 Pages: 108354-108354 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2024.108354

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Keywords:

Aftershock Convolution (computer science) Computer science Generative adversarial network Generative grammar Artificial intelligence Geology Pattern recognition (psychology) Deep learning Algorithm Seismology Artificial neural network

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Topics

Seismic Performance and Analysis

Physical Sciences → Engineering → Civil and Structural Engineering

Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Seismic Waves and Analysis

Physical Sciences → Earth and Planetary Sciences → Geophysics

Aftershock ground motion prediction model based on conditional convolutional generative adversarial networks

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