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...

詳細記述

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書誌詳細
主要な著者: Zhang, Shaojie, Hasanipanah, Mahdi, He, Biao, A. Rashid, Ahmad Safuan, Ulrikh, Dmitrii Vladimirovich, Fang, Qiancheng
フォーマット: 論文
言語:English
出版事項: MDPI 2022
主題:
オンライン・アクセス: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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