Firefly Algorithm-Based Artificial Neural Network to Predict the Shear Strength in FRP-Reinforced Concrete Beams

The shear strength of fiber-reinforced polymer (FRP) reinforced concrete beams is often given a large safety margin by current construction requirements. Six characteristics are utilized as inputs to compute the FRP-reinforced beams. This study uses 198 samples from literature predict 139 training and 59 testing samples. Additionally, ANN structure optimized with firefly algorithm. FA-ANN model also compared ACI-440, CSA-S806, BISE-99 codes, Nehdi et al. Findings show that regarding beams, algorithm-optimized performs better than other four models. Concerning accuracy, coefficient correlation, R2, was calculated 0.961, while average absolute error (AAE) 0.22 for