{"title":"矩形贴片天线的神经腔模型","authors":"R. K. Mishra, A. Sahu","doi":"10.1109/APCAP.2012.6333178","DOIUrl":null,"url":null,"abstract":"This communication shows the use of artificial neural network (ANN) in determining input impedance of a rectangular microstrip antenna using cavity model. This method of solution is termed as the Neuro-Cavity Model. Results from neuro-cavilty model closely follow those from classical Cavity model.","PeriodicalId":178493,"journal":{"name":"2012 IEEE Asia-Pacific Conference on Antennas and Propagation","volume":"443 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neuro-Cavity Model for rectangular patch antenna\",\"authors\":\"R. K. Mishra, A. Sahu\",\"doi\":\"10.1109/APCAP.2012.6333178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This communication shows the use of artificial neural network (ANN) in determining input impedance of a rectangular microstrip antenna using cavity model. This method of solution is termed as the Neuro-Cavity Model. Results from neuro-cavilty model closely follow those from classical Cavity model.\",\"PeriodicalId\":178493,\"journal\":{\"name\":\"2012 IEEE Asia-Pacific Conference on Antennas and Propagation\",\"volume\":\"443 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Asia-Pacific Conference on Antennas and Propagation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCAP.2012.6333178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Asia-Pacific Conference on Antennas and Propagation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAP.2012.6333178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This communication shows the use of artificial neural network (ANN) in determining input impedance of a rectangular microstrip antenna using cavity model. This method of solution is termed as the Neuro-Cavity Model. Results from neuro-cavilty model closely follow those from classical Cavity model.
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