Optimized Artificial Neural Network for reflectarray cell modelling
Résumé
This paper proposes a design methodology to optimize Artificial Neural Networks (ANN) modelling reflectarray cell. It is applied to a Phoenix cell with 5 inputs parameters. The results demonstrate that the final ANN model is reliable and accurate with an average phase error of 1,4°. © 2016 IEEE.