{"title":"基于差分进化搜索的系统模型参数提取","authors":"Jeesoo Chang, M. Oh, Byung-Gook Park","doi":"10.23919/SNW.2019.8782926","DOIUrl":null,"url":null,"abstract":"An evolutionary searching method for compact model parameter extraction is proposed. Optimum scale factor (SF) and crossover probability (CP) of the algorithm corresponded with the given task are investigated. The proposed method exhibits stable convergence behavior and superior accuracy compare to conventional methods.","PeriodicalId":170513,"journal":{"name":"2019 Silicon Nanoelectronics Workshop (SNW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A systematic model parameter extraction using differential evolution searching\",\"authors\":\"Jeesoo Chang, M. Oh, Byung-Gook Park\",\"doi\":\"10.23919/SNW.2019.8782926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An evolutionary searching method for compact model parameter extraction is proposed. Optimum scale factor (SF) and crossover probability (CP) of the algorithm corresponded with the given task are investigated. The proposed method exhibits stable convergence behavior and superior accuracy compare to conventional methods.\",\"PeriodicalId\":170513,\"journal\":{\"name\":\"2019 Silicon Nanoelectronics Workshop (SNW)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Silicon Nanoelectronics Workshop (SNW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SNW.2019.8782926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Silicon Nanoelectronics Workshop (SNW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SNW.2019.8782926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A systematic model parameter extraction using differential evolution searching
An evolutionary searching method for compact model parameter extraction is proposed. Optimum scale factor (SF) and crossover probability (CP) of the algorithm corresponded with the given task are investigated. The proposed method exhibits stable convergence behavior and superior accuracy compare to conventional methods.
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