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
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