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Bayesian-Optimized Fully Connected Neural Network For Enhanced Prediction Accuracy In Concrete Compressive Strength Estimation Cover

Bayesian-Optimized Fully Connected Neural Network For Enhanced Prediction Accuracy In Concrete Compressive Strength Estimation

Civil and Environmental Engineering
Volume 21 (2025): Issue 2 (December 2025)
By: Jiangyu Xiong,  Zhengfeng Ma,  Haoyun Yang,  Chen Yang and  Jingyi Chen  
Open Access
|Aug 2025

Authors

Jiangyu Xiong

School of Civil and Transportation Engineering, Qinghai Minzu University, Xining, China

Zhengfeng Ma

406149320@qq.com

School of Civil and Transportation Engineering, Qinghai Minzu University, Xining, China
College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing, China

Haoyun Yang

School of Civil and Transportation Engineering, Qinghai Minzu University, Xining, China

Chen Yang

School of Civil and Transportation Engineering, Qinghai Minzu University, Xining, China

Jingyi Chen

School of Civil and Transportation Engineering, Qinghai Minzu University, Xining, China
DOI: https://doi.org/10.2478/cee-2025-0095 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
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Language: English
Page range: 1292 - 1303
Published on: Aug 8, 2025
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Bayesian optimization,
Fully connected neural networks,
Concrete compressive strength,
Strength prediction
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Business management,
Industries,
Environmental management

© 2025 Jiangyu Xiong, Zhengfeng Ma, Haoyun Yang, Chen Yang, Jingyi Chen, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.

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