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A metaheuristic-driven categorical boosting framework with interpretability for high-precision prediction of mechanical properties in corroded reinforced concrete beams

Yuzhuo Zhang, Zheng Wang, Jinlong Liu, Yalin Li, Zhenqin Huang, Xiao-Hu Yu

2025Engineering Applications of Artificial Intelligence9 citationsDOI

Topics & Concepts

Mean squared errorHyperparameterComputer scienceCategorical variableParticle swarm optimizationInterpretabilityBoosting (machine learning)Flexural strengthStructural engineeringTest setCorrelation coefficientSolid mechanicsSupport vector machineSolverDeflection (physics)Beam (structure)Bayesian optimizationMachine learningRoot mean squareDesign of experimentsCoefficient of determinationStiffnessTest dataArtificial intelligenceReinforced concreteComputationRegressionAlgorithmRegression analysisOrthogonal arrayOptimization problemKrigingPredictive modellingGenetic programmingGenetic algorithmMulti-objective optimizationConcrete Corrosion and DurabilityInfrastructure Maintenance and MonitoringCorrosion Behavior and Inhibition
A metaheuristic-driven categorical boosting framework with interpretability for high-precision prediction of mechanical properties in corroded reinforced concrete beams | Litcius