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Explainable Machine-Learning Predictions for Peak Ground Acceleration

Peak ground acceleration (PGA) prediction is of great significance in the seismic design of engineering structures. Machine learning is a new method to predict PGA and does have some advantages. To establish explainable prediction models of PGA, 3104 sets of uphole and downhole seismic records colle...

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Principais autores: Rui Sun, Wanwan Qi, Tong Zheng, Jinlei Qi
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2023-04-01
Series:Applied Sciences
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Acceso en liña:https://www.mdpi.com/2076-3417/13/7/4530
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