{"title":"基于人工神经网络的微带贴片天线分析与合成","authors":"P. Bhagat, D. Pujara, D. Adhyaru","doi":"10.1109/APCAP.2012.6333177","DOIUrl":null,"url":null,"abstract":"In the present paper, the analysis and the synthesis models of rectangular, circular and equilateral triangular microstrip patch antennas using Artificial Neural Networks are presented. The analysis model takes antenna geometrical parameters as inputs and gives resonant frequency and return-loss as outputs. The synthesis model gives patch dimensions as output for a given set of antenna performance parameters.","PeriodicalId":178493,"journal":{"name":"2012 IEEE Asia-Pacific Conference on Antennas and Propagation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Analysis and synthesis of microstrip patch antenna using Artificial Neural Networks\",\"authors\":\"P. Bhagat, D. Pujara, D. Adhyaru\",\"doi\":\"10.1109/APCAP.2012.6333177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present paper, the analysis and the synthesis models of rectangular, circular and equilateral triangular microstrip patch antennas using Artificial Neural Networks are presented. The analysis model takes antenna geometrical parameters as inputs and gives resonant frequency and return-loss as outputs. The synthesis model gives patch dimensions as output for a given set of antenna performance parameters.\",\"PeriodicalId\":178493,\"journal\":{\"name\":\"2012 IEEE Asia-Pacific Conference on Antennas and Propagation\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"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.2012.6333177\",\"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.2012.6333177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis and synthesis of microstrip patch antenna using Artificial Neural Networks
In the present paper, the analysis and the synthesis models of rectangular, circular and equilateral triangular microstrip patch antennas using Artificial Neural Networks are presented. The analysis model takes antenna geometrical parameters as inputs and gives resonant frequency and return-loss as outputs. The synthesis model gives patch dimensions as output for a given set of antenna performance parameters.