Neural Network-Based Subduction Ground Motion Model and Its Application to New Zealand and the Andaman and Nicobar Islands

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Title

Neural Network-Based Subduction Ground Motion Model and Its Application to New Zealand and the Andaman and Nicobar Islands

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Description

A deep learning model is developed for the Next Generation Attenuation – Subduction database for predicting spectral accelerations and peak amplitude measures. The developed model satisfies the statistical criteria necessary for prediction. Standard deviations lie in 0.2864–0.3809, 0–0.2696, and 0.4514–0.7892, range for inter-event, -region, and intra-events, respectively. Transfer learning is applied to the New Zealand region. Probabilistic seismic hazard analysis is performed for the Andama...

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Other

Date created

22 Sep, 2022

Creator

Sreenath Vemula / Sreejaya Kp / S.T.G. Raghukanth

URL

https://figshare.com/articles/journal_contribution/Neural_Network-Based_Subduction_Ground_Motion_...

Related subjects

GMPE / NGA-Sub / deep learning / transfer learning / seismic hazard / Andaman and Nicobar Islands / Genetics / Astronomical and Space Sciences not elsewhere classified / Biological Sciences not elsewhere classified / Information Systems not elsewhere classified / Developmental Biology / Mental Health / Hematology / Plant Biology

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