Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

The shear strength of reinforced concrete (RC) beams is critical in the design of structural members. Developing an effective mathematical method for accurately estimating shear strength of RC beams is beneficial for civil engineers. This work presents a hybrid artificial intelligent (AI) model for...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Germany), 2020-03, Vol.24 (5), p.3393-3411
Hauptverfasser:	Chou, Jui-Sheng, Pham, Thi-Phuong-Trang, Nguyen, Thi-Kha, Pham, Anh-Duc, Ngo, Ngoc-Tri
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial Intelligence Building codes Civil engineering Civil engineers Clustering Computational Intelligence Concrete Control Data mining Engineering Gene expression Heuristic methods Machine learning Mathematical Logic and Foundations Mechatronics Methodologies and Application Optimization Performance evaluation Reinforced concrete Research methodology Robotics Shear strength Stirrups Structural members Support vector machines
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