Effect of Artificial Neural Network Design Parameters for Prediction of PS/TiO2 Nanofiber Diameter

for Class 1 and Class 2, respectively. These findings underline the importance of methodological rigor in data-driven modeling and demonstrate that carefully optimized ANN frameworks can serve as powerful tools for predicting structural features in nanostructured materials, thereby supporting rational materials design and synthesis.