Embedding Prior Knowledge into Data-Driven Structural Performance Prediction to Extrapolate from Training Domains-Reference-Cited by-同舟云学术

Embedding Prior Knowledge into Data-Driven Structural Performance Prediction to Extrapolate from Training Domains

Published:2023-12 Issue:12 Volume:149 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Chen Shi-Zhi¹,Zhang Shu-Ying²,Feng De-Cheng³^ORCID,Taciroglu Ertugrul⁴^ORCID

Affiliation:

1. Associate Professor, School of Highways, Chang’an Univ., Xi’an, Shaanxi 710064, China.

2. Ph.D. Candidate, School of Highways, Chang’an Univ., Xi’an, Shaanxi 710064, China.

3. Professor, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast Univ., Nanjing 211189, China (corresponding author). ORCID: .

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA 90095. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7062

Reference65 articles.

1. Prediction of aeroelastic response of bridge decks using artificial neural networks

2. Agarap A. F. 2018. “Deep learning using rectified linear units (ReLu).” Preprint submitted March 22 2018. http://arxiv.org/abs/1803.08375.

3. Akiba T. S. Sano T. Yanase T. Ohta and M. Koyama. 2019. “Optuna: A next-generation hyperparameter optimization framework.” In Proc. 25th ACM SIGKDD Int. Conf. on Knowledge Discovery & Data Mining 2623–2631. New York: Association for Computing Machinery.

4. Incremental learning framework for real‐world fraud detection environment

5. Balestriero R. J. Pesenti and Y. LeCun. 2021. “Learning in high dimension always amounts to extrapolation.” Preprint submitted November 6 2021. http://arxiv.org/abs/2110.09485.

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