{"title":"Biology Inspired Approximate Data Representation for Signal Processing, Soft Computing and Control Applications","authors":"E. Petriu","doi":"10.1109/WISP.2007.4447532","DOIUrl":null,"url":null,"abstract":"This paper reviews basics, similarities, and applications of two well-known biology inspired approximate data representation modalities: stochastic data representation and fuzzy linguistic variables.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Symposium on Intelligent Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISP.2007.4447532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper reviews basics, similarities, and applications of two well-known biology inspired approximate data representation modalities: stochastic data representation and fuzzy linguistic variables.
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