{"title":"基于人工神经网络的微带天线带宽计算","authors":"V. Thakare, P. Singhal, K. Das","doi":"10.1109/RFM.2008.4897355","DOIUrl":null,"url":null,"abstract":"An artificial neural network has been developed for the calculation of bandwidth of resonant microstrip antenna. The network training data is generated using IE3D an electromagnetic simulator. An example of inset feed rectangular microstrip patch antenna is being considered. A feed forward network structure is preferred for bandwidth calculation. Results of the network are compared with the data obtained from IE3D simulator and concluded that results are in good agreement with simulator findings.","PeriodicalId":329128,"journal":{"name":"2008 IEEE International RF and Microwave Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Calculation of Microstrip antenna bandwidth using Artificial Neural Network\",\"authors\":\"V. Thakare, P. Singhal, K. Das\",\"doi\":\"10.1109/RFM.2008.4897355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An artificial neural network has been developed for the calculation of bandwidth of resonant microstrip antenna. The network training data is generated using IE3D an electromagnetic simulator. An example of inset feed rectangular microstrip patch antenna is being considered. A feed forward network structure is preferred for bandwidth calculation. Results of the network are compared with the data obtained from IE3D simulator and concluded that results are in good agreement with simulator findings.\",\"PeriodicalId\":329128,\"journal\":{\"name\":\"2008 IEEE International RF and Microwave Conference\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International RF and Microwave Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RFM.2008.4897355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International RF and Microwave Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFM.2008.4897355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation of Microstrip antenna bandwidth using Artificial Neural Network
An artificial neural network has been developed for the calculation of bandwidth of resonant microstrip antenna. The network training data is generated using IE3D an electromagnetic simulator. An example of inset feed rectangular microstrip patch antenna is being considered. A feed forward network structure is preferred for bandwidth calculation. Results of the network are compared with the data obtained from IE3D simulator and concluded that results are in good agreement with simulator findings.
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