Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in Predicting the Compressive Strength of POFA Concrete
This study presents a comparative study between Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in predicting the compressive strength of palm oil fuel ash (POFA) concrete. The comparison was made based on the same experimental datasets. The inputs investigated in this study w...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/26081/1/Comparison%20of%20Artificial%20Neural%20Network%20%28ANN%29%20and%20Response%20Surface%20Methodology%20%28RSM%29%20in%20Predicting%20the%20Compressive%20Strength%20of%20POFA%20Concrete.pdf https://eprints.ums.edu.my/id/eprint/26081/2/Comparison%20of%20Artificial%20Neural%20Network%20%28ANN%29%20and%20Response%20Surface%20Methodology%20%28RSM%29%20in%20Predicting%20the%20Compressive%20Strength%20of%20POFA%20Concrete1.pdf |