Frequency-based Data-driven Surrogate Model for Efficient Prediction of Irregular Structure’s Seismic Responses-Reference-Cited by-同舟云学术

Frequency-based Data-driven Surrogate Model for Efficient Prediction of Irregular Structure’s Seismic Responses

Author:

Dang-Vu Hoang¹,Nguyen Quang Dang²,Chung TaeChoong³,Shin Jiuk⁴,Lee Kihak¹

Affiliation:

1. Department of Architectural Engineering, Deep Learning Architecture Research Center, Sejong University, Seoul, Republic of Korea

2. Centre for Complex Systems, Faculty of Engineering, University of Sydney, Sydney, Australia

3. Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea

4. Department of Architectural Engineering, Gyeongsang National University, Jinju, South Korea

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Informa UK Limited

Subject

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

Link

Reference45 articles.

2. Ba, J. L., J. R. Kiros, and G. E. Hinton. Layer Normalization. arXiv:160706450 [cs, stat] 2016;ArXiv: 1607.06450, 2016.

Cited by 7 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