• DocumentCode
    2795043
  • Title

    Optimal Model of Agricultural Structure

  • Author

    Deji, Wang ; Bo, Xu ; Guangcai, Li ; Guoqun, Chen

  • Author_Institution
    PetroChina Pipeline R&D Center, Langfang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4041
  • Lastpage
    4044
  • Abstract
    Optimal model of agricultural structures is important in solving the ldquosan nongrdquo problem. In this paper, we introduce the yield function and price function of the product, which are rOptimal model of agricultural structures is important in solving the ldquosan nongrdquo problem. In this paper, we introduce the yield function and price function of the product, which are regressed from the samples by SVM, into the genetic algorithm as the fitness function. This is a novel method for solving the optimal model of the agricultural structures. At last we put the method into optimal model agricultural structures for Hefei city and get the ideal result.egressed from the samples by SVM, into the genetic algorithm as the fitness function. This is a novel method for solving the optimal model of the agricultural structures. At last we put the method into optimal model agricultural structures for Hefei city and get the ideal result.
  • Keywords
    agriculture; genetic algorithms; pricing; support vector machines; Hefei city; agricultural structure; fitness function; genetic algorithm; optimal model; price function; san nong problem; support vector machine; yield function; Agriculture; Biological cells; Cities and towns; Genetic algorithms; Globalization; Machine intelligence; Neural networks; Pipelines; Research and development; Support vector machines; Agricultural Structures; Genetic Algorithm; Optimal Model; SVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192562
  • Filename
    5192562