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Prediction accuracy of Random Forest, XGBoost, LightGBM, and artificial neural network for shear resistance of post-installed anchors

D. Suenaga, Yuya Takase, Takahide Abe, Genta ORITA, S. Ando

2023Structures53 citationsDOI

Topics & Concepts

Random forestArtificial neural networkResistance (ecology)Shear (geology)Artificial intelligenceMachine learningShear strength (soil)Computer scienceStructural engineeringData miningEngineeringPattern recognition (psychology)Environmental scienceMaterials scienceComposite materialSoil scienceBiologyEcologySoil waterStructural Load-Bearing AnalysisStructural Health Monitoring TechniquesLaser and Thermal Forming Techniques
Prediction accuracy of Random Forest, XGBoost, LightGBM, and artificial neural network for shear resistance of post-installed anchors | Litcius