Open access
2026
Machine Learning Models for Gain Regression Trained on 10 Million Yagi–Uda Antennas
Statistical comparisons of two machine learning models, multilayer perceptrons and extreme gradient boosting, for predicting the forward gain of Yagi-Uda antennas from their geometry are presented. The primary concerns in the presented comparisons are prediction accuracy, training time, and model complexity. Two datase...
D. Ninković, Shaik Basheeruddin Shah, Ahmed Altunaiji et al.
· IEEE Access · 0 citations