Neural Network-Based Subduction Ground Motion Model and Its Application to New Zealand and the Andaman and Nicobar Islands-Reference-Cited by-同舟云学术

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

Published:2022-09-21 Issue: Volume: Page:1-24
ISSN:1363-2469
Container-title:Journal of Earthquake Engineering
language:en
Short-container-title:Journal of Earthquake Engineering

Author:

Vemula Sreenath¹^ORCID,Kp Sreejaya¹^ORCID,Raghukanth S.T.G.¹^ORCID

Affiliation:

1. Structural Engineering Laboratory, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13632469.2022.2121333

Reference45 articles.

1. BC Hydro Ground Motion Prediction Equations for Subduction Earthquakes

2. Abrahamson, N. A., and Z. Gulerce. 2020. Regionalized ground-motion models for subduction earthquakes based on the NGA-Sub database. Report 2020/050, Pacific Earthquake Engineering Research Center, University of California, Berkeley.

3. Abrahamson, N. A., N. Kuehn, Z. Gulerce, N. Gregor, Y. Bozorgnia, G. A. Parker, J. P. Stewart, B. Chiou, I. M. Idriss, K. Campbell, et al. 2018. Update of the BC hydro subduction ground-motion model using the NGA-Subduction dataset. Report No. 2018/02, Pacific Earthquake Engineering Research Center, University of California, Berkeley.

4. Fuzzy logic-based attenuation relationships of strong motion earthquake records

5. Fitting autoregressive models for prediction

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectral Ground Motion Models for Himalayas Using Transfer Learning Technique;Journal of Earthquake Engineering;2024-05-16

2. Ground motion models for regions with limited data: Data‐driven approach;Earthquake Engineering & Structural Dynamics;2024-01-02

3. Ensemble Region-Specific GMMs for Subduction Earthquakes;Seismological Research Letters;2023-12-27

4. Backpropagation Neural Network – Based Prediction of Crack Depth in Fly-Ash Geopolymer Concrete with Akaike and Bayesian Information Criterion;2023 6th International Conference on Computing and Big Data (ICCBD);2023-10-27

5. Machine learning–based ground motion models for shallow crustal earthquakes in active tectonic regions;Earthquake Spectra;2023-08-28