Hyperparameters are pivotal for machine learning models. The success of efficient calibration, often surpasses the results obtained by devising new approaches. Traditionally, human intervention is req
Supplemental material, sj-mat-3-ade-10.1177_16878132231175002 for Optimization of Neural Network architecture and derivation of closed-form equation to predict ultimate load of functionally graded mat
