Application of Random Forest and Multi-layer Perceptron ANNS in Estimating the Axial Compression Capacity of Concrete-Filled Steel Tubes
A. Arokiaprakash, S. Senthil Selvan
Topics & Concepts
Random forestCompression (physics)PerceptronStructural engineeringLayer (electronics)Materials scienceArtificial neural networkComputer scienceComposite materialEngineeringArtificial intelligenceStructural Load-Bearing AnalysisGeotechnical Engineering and Underground StructuresStructural Behavior of Reinforced Concrete