Prediction of Shear Capacity of FRP Reinforced Concrete Beams Using Deep Neural Networks Based on Hyperparameter Optimization
Predicting shear capacity of Fiber Reinforced Polymer (FRP) concrete beams is challenging due to multiple influencing parameters. The research uses an experimental dataset of 48 and 73 results from carbon and glass Fiber Reinforced Polymer (FRP) concrete beams to create deep neural network (DNN) mod...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2025-07-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | https://www.jsoftcivil.com/article_203914_e1e11248255741034182ad825f2dcc47.pdf |
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