{"title":"基于机器学习算法的6.0 GHz以下介质谐振器MIMO天线性能预测","authors":"Khushboo Pachori, Amit Prakash, Nagendra Kumar","doi":"10.1080/02726343.2023.2281480","DOIUrl":null,"url":null,"abstract":"In this article, a dual port dielectric resonator antenna is modeled using various machine learning algorithms i.e. deep neural network (DNN), Random Forest, and XG boost. The unique properties of ...","PeriodicalId":50542,"journal":{"name":"Electromagnetics","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance prediction of dielectric resonator based MIMO antenna for sub-6.0 GHz using machine learning algorithms\",\"authors\":\"Khushboo Pachori, Amit Prakash, Nagendra Kumar\",\"doi\":\"10.1080/02726343.2023.2281480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, a dual port dielectric resonator antenna is modeled using various machine learning algorithms i.e. deep neural network (DNN), Random Forest, and XG boost. The unique properties of ...\",\"PeriodicalId\":50542,\"journal\":{\"name\":\"Electromagnetics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electromagnetics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/02726343.2023.2281480\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electromagnetics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/02726343.2023.2281480","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Performance prediction of dielectric resonator based MIMO antenna for sub-6.0 GHz using machine learning algorithms
In this article, a dual port dielectric resonator antenna is modeled using various machine learning algorithms i.e. deep neural network (DNN), Random Forest, and XG boost. The unique properties of ...
期刊介绍：
Publishing eight times per year, Electromagnetics offers refereed papers that span the entire broad field of electromagnetics and serves as an exceptional reference source of permanent archival value. Included in this wide ranging scope of materials are developments in electromagnetic theory, high frequency techniques, antennas and randomes, arrays, numerical techniques, scattering and diffraction, materials, and printed circuits. The journal also serves as a forum for deliberations on innovations in the field. Additionally, special issues give more in-depth coverage to topics of immediate importance.
All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. Submissions can be made via email or postal mail.
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