Artificial neural network approach using Levenberg-Marquardt algorithm in the use of bottom ash waste in concrete hollow block design
Neural Network modeling was applied for the prediction of compressive strength of Coal Bottom Ash (CBA). Levenberg-Marquardt was used for the different neural network architectures to find acceptable models than can accurately predict the compressive strength of CHB's and realistically model th...
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| Format: | text |
| Language: | English |
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Animo Repository
2003
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| Online Access: | https://animorepository.dlsu.edu.ph/etd_masteral/3046 |
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| Institution: | De La Salle University |
| Language: | English |