Mouatez Bellah Karabaghli, K. Frigui, Mouhamadou Moctar, S. Bila, D. Baillargeat
{"title":"RF filter design using Deep Learning and Artificial Intelligence","authors":"Mouatez Bellah Karabaghli, K. Frigui, Mouhamadou Moctar, S. Bila, D. Baillargeat","doi":"10.1109/NEMO51452.2022.10038522","DOIUrl":null,"url":null,"abstract":"In this paper an RF filter optimization by using deep learning method is presented. This approach allows to predict the geometrical dimensions of the RF filter based on S-parameters as input data. A validation of this method is detailed by designing a four-pole rectangular waveguide filter.","PeriodicalId":102131,"journal":{"name":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEMO51452.2022.10038522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper an RF filter optimization by using deep learning method is presented. This approach allows to predict the geometrical dimensions of the RF filter based on S-parameters as input data. A validation of this method is detailed by designing a four-pole rectangular waveguide filter.
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