Prediction on the mechanical strength of coal ash concrete using artificial neural network
Machine learning approaches are essential for assessing the mechanical strength of concrete in civil engineering. With little work and expenditure, machine learning algorithms provide remarkable accuracy. However, these methods need information on the proportions of various components used including...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institution of Engineering and Technology
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42017/1/Prediction%20on%20the%20mechanical%20strength%20of%20coal%20ash%20concrete.pdf http://umpir.ump.edu.my/id/eprint/42017/2/Prediction%20on%20the%20mechanical%20strength%20of%20coal%20ash%20concrete%20using%20artificial%20neural%20network_ABS.pdf http://umpir.ump.edu.my/id/eprint/42017/ https://doi.org/10.1049/icp.2022.2674 |
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Internet
http://umpir.ump.edu.my/id/eprint/42017/1/Prediction%20on%20the%20mechanical%20strength%20of%20coal%20ash%20concrete.pdfhttp://umpir.ump.edu.my/id/eprint/42017/2/Prediction%20on%20the%20mechanical%20strength%20of%20coal%20ash%20concrete%20using%20artificial%20neural%20network_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42017/
https://doi.org/10.1049/icp.2022.2674