{"title":"基于人工神经网络建模技术的RFID标签天线快速设计与优化","authors":"Ning Zhang, Xiuping Li","doi":"10.1109/YCICT.2010.5713063","DOIUrl":null,"url":null,"abstract":"This paper presents RFID tag antenna quick design and optimization of by using the Artificial Neural Network (ANN) modeling technique. The proposed antenna presents at least 90MHz (840∼930MHz) bandwidth for microchip impedance between (10-j50) Ω and (40-j300) Ω under the condition of return loss less than −10dB by changing the antenna's two key parameters. These two key parameters are used to capture critical input-output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient in the design and optimization of the RFID tag antenna.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"RFID tag antenna quick design and optimization by using Artificial Neural Network modeling technique\",\"authors\":\"Ning Zhang, Xiuping Li\",\"doi\":\"10.1109/YCICT.2010.5713063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents RFID tag antenna quick design and optimization of by using the Artificial Neural Network (ANN) modeling technique. The proposed antenna presents at least 90MHz (840∼930MHz) bandwidth for microchip impedance between (10-j50) Ω and (40-j300) Ω under the condition of return loss less than −10dB by changing the antenna's two key parameters. These two key parameters are used to capture critical input-output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient in the design and optimization of the RFID tag antenna.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RFID tag antenna quick design and optimization by using Artificial Neural Network modeling technique
This paper presents RFID tag antenna quick design and optimization of by using the Artificial Neural Network (ANN) modeling technique. The proposed antenna presents at least 90MHz (840∼930MHz) bandwidth for microchip impedance between (10-j50) Ω and (40-j300) Ω under the condition of return loss less than −10dB by changing the antenna's two key parameters. These two key parameters are used to capture critical input-output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient in the design and optimization of the RFID tag antenna.
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