CLD-Based Automatic Frequency Selective Surface (FSS) Inverse Design

This work presents a deep learning-based method for the inverse design of stopband frequency selective surfaces (FSSs) with the CNN-LSTM-DNN (CLD) model. With the designed model, we can directly obtain the structure geometric parameters by inputting the CLD model with stopband FSS’s Sparameters. Two cases of Jerusalem stopband FSS validate the proposed method can quickly fit the requirement.