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Compressive Strength Prediction of PVA Fiber-Reinforced Cementitious Composites Containing Nano-SiO(2) Using BP Neural Network
In this study, a method to optimize the mixing proportion of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites and improve its compressive strength based on the Levenberg-Marquardt backpropagation (BP) neural network algorithm and genetic algorithm is proposed by adopting a three-laye...
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| Veröffentlicht in: | Materials (Basel) |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7040740/ https://ncbi.nlm.nih.gov/pubmed/31978993 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma13030521 |
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