{"title":"基于混合神经网络的紧凑双频PIFA建模","authors":"Ruchi Varma, J. Ghosh","doi":"10.1109/IC3I.2016.7917958","DOIUrl":null,"url":null,"abstract":"In this paper, a compact dual band planar inverted-F antenna (PIFA) has been proposed. Dual band is achieved by inserting slots on the top radiating patch. The dimension of the patch is 15 × 12 mm2 and finite ground plane size is 44×40mm2 which can easily be integrated inside the mobile phone. Further, a hybrid neural network (HNN) is used for the design of dual band PIFA. This method is more accurate and requires less time. The HNN results are compared with the CST simulation results and are found to be in good accord.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of a compact dual band PIFA using hybrid neural network\",\"authors\":\"Ruchi Varma, J. Ghosh\",\"doi\":\"10.1109/IC3I.2016.7917958\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a compact dual band planar inverted-F antenna (PIFA) has been proposed. Dual band is achieved by inserting slots on the top radiating patch. The dimension of the patch is 15 × 12 mm2 and finite ground plane size is 44×40mm2 which can easily be integrated inside the mobile phone. Further, a hybrid neural network (HNN) is used for the design of dual band PIFA. This method is more accurate and requires less time. The HNN results are compared with the CST simulation results and are found to be in good accord.\",\"PeriodicalId\":305971,\"journal\":{\"name\":\"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3I.2016.7917958\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3I.2016.7917958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of a compact dual band PIFA using hybrid neural network
In this paper, a compact dual band planar inverted-F antenna (PIFA) has been proposed. Dual band is achieved by inserting slots on the top radiating patch. The dimension of the patch is 15 × 12 mm2 and finite ground plane size is 44×40mm2 which can easily be integrated inside the mobile phone. Further, a hybrid neural network (HNN) is used for the design of dual band PIFA. This method is more accurate and requires less time. The HNN results are compared with the CST simulation results and are found to be in good accord.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
