Experimental investigation and predictive modeling of shear performance for concrete-encased steel beams using artificial neural networks
This manuscript employs a highly efficient artificial intelligence (AI) technique for machine learning (ML) through artificial neural networks (ANNs) and introduces a novel numerical predictive model capable of accurately forecasting the shear capacity of concrete-encased steel (CES) beams. The rese...
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Veröffentlicht in: | Materials and structures 2023-10, Vol.56 (8), Article 141 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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