Hybrid deep learning approach for accurate prediction of flowability in ultra-high-performance concrete

By implementing several machine learning (ML), deep learning (DL), and hybrid deep learning models, the research methodology included a systematic approach, which included data separation, exploratory data analysis (EDA), artificial neural networks (ANN), K-Nearest neighbors (knn), convolutional neu...

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Bibliographic Details

Main Authors:	Al-Hinawi, Ayat Mahmoud, Alelaimat, Radwan A., Alhenawi, Esraa, AlBiajawi, Mohammad Ismail Yousef
Format:	Article
Language:	en
Published:	Engineered Science Publisher 2024
Subjects:	QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/44555/1/Hybrid%20deep%20learning%20approach%20for%20accurate%20prediction%20of%20flowability.pdf http://umpir.ump.edu.my/id/eprint/44555/ https://dx.doi.org/10.30919/es1182
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