{"title":"高速互连的频率相关参数建模:一种神经网络方法","authors":"A. Veluswami, M. Nakhla, Qi-jun Zhang","doi":"10.1109/MCMC.1997.569354","DOIUrl":null,"url":null,"abstract":"In this paper, artificial neural networks are applied to the modeling of the frequency-dependent parameters of lossy interconnects. Neural networks are an efficient mathematical tool capable of mapping the relationship between the physical parameters of interconnects and their per-unit-length parameters over a large range of frequency. They offer high on-line speed and are ideally suited for use in iterative computer-aided design and optimization techniques.","PeriodicalId":412444,"journal":{"name":"Proceedings 1997 IEEE Multi-Chip Module Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling the frequency-dependent parameters of high-speed interconnects: a neural network approach\",\"authors\":\"A. Veluswami, M. Nakhla, Qi-jun Zhang\",\"doi\":\"10.1109/MCMC.1997.569354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, artificial neural networks are applied to the modeling of the frequency-dependent parameters of lossy interconnects. Neural networks are an efficient mathematical tool capable of mapping the relationship between the physical parameters of interconnects and their per-unit-length parameters over a large range of frequency. They offer high on-line speed and are ideally suited for use in iterative computer-aided design and optimization techniques.\",\"PeriodicalId\":412444,\"journal\":{\"name\":\"Proceedings 1997 IEEE Multi-Chip Module Conference\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1997 IEEE Multi-Chip Module Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCMC.1997.569354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1997 IEEE Multi-Chip Module Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCMC.1997.569354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling the frequency-dependent parameters of high-speed interconnects: a neural network approach
In this paper, artificial neural networks are applied to the modeling of the frequency-dependent parameters of lossy interconnects. Neural networks are an efficient mathematical tool capable of mapping the relationship between the physical parameters of interconnects and their per-unit-length parameters over a large range of frequency. They offer high on-line speed and are ideally suited for use in iterative computer-aided design and optimization techniques.
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