Deflection Control of an Active Beam String Structure Using a Hybrid Genetic Algorithm and Back-Propagation Neural Network-Reference-Cited by-同舟云学术

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Deflection Control of an Active Beam String Structure Using a Hybrid Genetic Algorithm and Back-Propagation Neural Network

Published:2024-03 Issue:3 Volume:150 Page:
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Shen Yanbin¹,Xu Wucheng²,Zhang Xuanhe³,Wang Yueyang⁴,Xu Xian⁵,Luo Yaozhi⁵

Affiliation:

1. Associate Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China (corresponding author).

2. Doctoral Candidate, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

3. Master’s Candidate, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

4. Engineer, China Aviation Planning and Design Institute (Group) CO., LTD., Dewai St., Xicheng District, Beijing 100120, China.

5. Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JSENDH.STENG-12633

Reference47 articles.

1. Ultimate strength prediction of corroded plates with center-longitudinal crack using FEM and ANN

2. Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

3. Concrete compressive strength using artificial neural networks

4. Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

5. Krill herd algorithm-based neural network in structural seismic reliability evaluation

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