• DocumentCode
    1997582
  • Title

    Identification and Reduction of F-Recursive Genetic Information

  • Author

    Yuying Li ; Huannli Zhang ; Kaiquan Shi ; Weirong Chen

  • Author_Institution
    Dept. of Comput., Ningde Normal Univ., Ningde, China
  • fYear
    2013
  • fDate
    3-4 Dec. 2013
  • Firstpage
    224
  • Lastpage
    228
  • 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.
  • Keywords
    genetics; identification; set theory; F̅-recursive dominant inheritance information; F̅-recursive recessive inheritance information; F-recursive genetic information; P-sets; biology; dynamic information; heredity; identification criterion; identification theorem; Cameras; Computer vision; Educational institutions; Genetics; Orbits; Ports (Computers); identification; recursive dominant inheritance information; recursive genetic information; recursive recessive inheritance information; reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2013 Fourth Global Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-2885-9
  • Type

    conf

  • DOI
    10.1109/GCIS.2013.42
  • Filename
    6805939