Convolutional neural network‐based wind‐induced response estimation model for tall buildings
Author:
Affiliation:
1. Department of Civil and Environmental EngineeringPrinceton University Princeton NJ USA
2. Department of Architectural EngineeringHongik University Sejong Korea
3. Department of Architectural EngineeringYonsei University Seoul Korea
Funder
National Research Foundation of Korea
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12476
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