{"title":"用人工神经网络建模设计带通滤波器","authors":"Xiuping Li, Jianjun Gao, J. Yook, Xiaodong Chen","doi":"10.1109/APMC.2005.1606362","DOIUrl":null,"url":null,"abstract":"This paper presents a design approach for a /spl lambda//2 resonator bandpass filter by using the artificial neural network (ANN) modeling technique. Three important dimensions of the filter layout 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 computationally in the design optimization of the filter.","PeriodicalId":253574,"journal":{"name":"2005 Asia-Pacific Microwave Conference Proceedings","volume":"181 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Bandpass filter design by artificial neural network modeling\",\"authors\":\"Xiuping Li, Jianjun Gao, J. Yook, Xiaodong Chen\",\"doi\":\"10.1109/APMC.2005.1606362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a design approach for a /spl lambda//2 resonator bandpass filter by using the artificial neural network (ANN) modeling technique. Three important dimensions of the filter layout 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 computationally in the design optimization of the filter.\",\"PeriodicalId\":253574,\"journal\":{\"name\":\"2005 Asia-Pacific Microwave Conference Proceedings\",\"volume\":\"181 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 Asia-Pacific Microwave Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APMC.2005.1606362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 Asia-Pacific Microwave Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APMC.2005.1606362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bandpass filter design by artificial neural network modeling
This paper presents a design approach for a /spl lambda//2 resonator bandpass filter by using the artificial neural network (ANN) modeling technique. Three important dimensions of the filter layout 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 computationally in the design optimization of the filter.
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