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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Engineered Science Publisher
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44555/ http://umpir.ump.edu.my/id/eprint/44555/1/Hybrid%20deep%20learning%20approach%20for%20accurate%20prediction%20of%20flowability.pdf |