An optimized clustering approach to investigate the main features in predicting the punching shear capacity of steel fiber-reinforced concrete

An optimized clustering approach to investigate the main features in predicting the punching shear capacity of steel fiber-reinforced concrete

We developed an optimized system for solving engineering problems according to the characteristics of data. Because data analysis includes different variations, the use of common features can increase the performance and accuracy of models. Therefore, this study, using a combination of optimization...

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Bibliographic Details
Main Authors: Zhang, Shaojie, Hasanipanah, Mahdi, He, Biao, A. Rashid, Ahmad Safuan, Ulrikh, Dmitrii Vladimirovich, Fang, Qiancheng
Format: Article
Language:English
Published: MDPI 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/104471/1/AhmadSafuanARashid2022_AnOptimizedClusteringApproachtoInvestigate.pdf
http://eprints.utm.my/104471/
http://dx.doi.org/10.3390/su141912950
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/104471/1/AhmadSafuanARashid2022_AnOptimizedClusteringApproachtoInvestigate.pdf
http://eprints.utm.my/104471/
http://dx.doi.org/10.3390/su141912950

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