{"title":"Identification and Reduction of F-Recursive Genetic Information","authors":"Yuying Li, Huannli Zhang, Kaiquan Shi, Weirong Chen","doi":"10.1109/GCIS.2013.42","DOIUrl":null,"url":null,"abstract":"In order to recognize and control effectively dynamic information, the paper proposes the concept of F̅-recursive genetic information by introducing the concept of heredity in biology and using P-sets, including the concepts of F̅-recursive dominant inheritance information and -F̅-recursive recessive inheritance information. Meanwhile, the structure and characteristics about the F̅-recursive genetic information are provided. The paper gives the identification theorem and identification criterion as well as the reduction method for the F̅-recursive genetic information. Finally, the application of computer vision recognition of F-recursive genetic information is provided. The research indicates that the generated F̅-recursive genetic information is identifiable and the proposed recursive reduction method is more reliable than the non-recursive reduction method. The-recursive genetic information is a new tool to discover information, to forecast information and to control information.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2013.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In order to recognize and control effectively dynamic information, the paper proposes the concept of F̅-recursive genetic information by introducing the concept of heredity in biology and using P-sets, including the concepts of F̅-recursive dominant inheritance information and -F̅-recursive recessive inheritance information. Meanwhile, the structure and characteristics about the F̅-recursive genetic information are provided. The paper gives the identification theorem and identification criterion as well as the reduction method for the F̅-recursive genetic information. Finally, the application of computer vision recognition of F-recursive genetic information is provided. The research indicates that the generated F̅-recursive genetic information is identifiable and the proposed recursive reduction method is more reliable than the non-recursive reduction method. The-recursive genetic information is a new tool to discover information, to forecast information and to control information.