{"title":"Metallic Pattern Prediction For Surface Wave Antennas Using Bidirectional Gated Recurrent Unit Neural Network","authors":"Jiashu Yang, K. Tong","doi":"10.1109/APWC52648.2021.9539634","DOIUrl":null,"url":null,"abstract":"This work presents a surface wave antenna metallic pattern prediction from electric field in near-field by applying Bidirectional Gated Recurrent Unit neural network prediction model. The metallic pattern of the proposed antenna has been predicted by using Bi-GRU neural network model with prediction accuracy 100% at 34.5GHz. Different uniform mark-space-ratios (MSR) of the metallic pattern do not affect the metallic pattern prediction accuracy.","PeriodicalId":253455,"journal":{"name":"2021 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWC52648.2021.9539634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a surface wave antenna metallic pattern prediction from electric field in near-field by applying Bidirectional Gated Recurrent Unit neural network prediction model. The metallic pattern of the proposed antenna has been predicted by using Bi-GRU neural network model with prediction accuracy 100% at 34.5GHz. Different uniform mark-space-ratios (MSR) of the metallic pattern do not affect the metallic pattern prediction accuracy.