A compressive concrete strength prediction model using artificial neural networks
A building is at a high risk of destruction if the compressive concrete strength does not meet the required specification. Thus, the prediction of compressive concrete strength has become an important research area. Previous prediction models are based on fix numbers of attributes. Consequently, whe...
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| Format: | Thesis |
| Language: | English English |
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2017
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| Online Access: | http://etd.uum.edu.my/6556/ http://etd.uum.edu.my/6556/1/s817333_01.pdf http://etd.uum.edu.my/6556/2/s817333_02.pdf |