A Rapid prediction method for S-parameter of the stretchable antenna based on Artificial Neural Networks

This paper introduces a pioneering and rapid approach to predict the S-parameters of flexible antennas under stretching condition based on Artificial Neural Networks (ANN). Two ANN models with feedback are developed and trained on a dataset of flexible antennas undergoing diverse stretching amounts. These models demonstrate robust predictive capabilities for the S-parameters of flexible antennas, providing efficient simulation and analysis avenues, which could propel advancements in flexible antenna technology research.