Effects of DoE Sampling and Hyperparameter Selection on ANN-Based Surrogate Models for Large-Scale 3D Concrete Printer Frames
In mechanical design optimization, ANN-based surrogate models are increasingly used to replace computationally expensive simulations such as the Finite Element Method (FEM) and Computational Fluid Dynamics (CFD). However, their performance strongly depends on the quality of training data (Design of Experiments - DoE) a...