Jinyuan Cui, Xiaoyu Wang, F. Feng, Shuxia Yan, Qi-jun Zhang
{"title":"Recent Advances in Neuro-TF Methods with Different Format for EM Parametric Modeling","authors":"Jinyuan Cui, Xiaoyu Wang, F. Feng, Shuxia Yan, Qi-jun Zhang","doi":"10.1109/iwem53379.2021.9790626","DOIUrl":null,"url":null,"abstract":"The neuro-TF methods are widely used for electromagnetic (EM) parametric modeling. The paper looks back the recent research progress in optimization based on the neuro-TF. Two neuro-TF methods we have proposed in the paper, include neuro-TF method with pole/residue format and neuro-TF method with hybrid format. The effectiveness of these methods are verified by two parametric modeling examples of a coupled-line filter and a four-pole waveguide filter.","PeriodicalId":141204,"journal":{"name":"2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","volume":"volume1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iwem53379.2021.9790626","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
The neuro-TF methods are widely used for electromagnetic (EM) parametric modeling. The paper looks back the recent research progress in optimization based on the neuro-TF. Two neuro-TF methods we have proposed in the paper, include neuro-TF method with pole/residue format and neuro-TF method with hybrid format. The effectiveness of these methods are verified by two parametric modeling examples of a coupled-line filter and a four-pole waveguide filter.