• DocumentCode
    480471
  • Title

    Research on Prediction of Barycenter Moving of Urban Cluster Based on Coordinate Segregation and Genetic Algorithm

  • Author

    Li, Xinyun ; Li, Yong

  • Author_Institution
    Coll. of Inf. Manage., Shandong Economic Univ., Jinan, China
  • Volume
    5
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1074
  • Lastpage
    1077
  • Abstract
    Through coordinate segregation of barycenter moving track of urban cluster, a complex function composed of one trend item and several cycle items is adopted to simulate the change of barycenter¿s x-,y-coordinates. And GA is used to estimate the model parameters. It needn¿t linearize the model in advance. The methods above can arrive at a satisfactory result on barycenter-moving track of Shandong urban cluster¿s economic barycenter.
  • Keywords
    genetic algorithms; pattern clustering; barycenter prediction; barycenter-moving track; coordinate segregation; genetic algorithm; urban cluster; Cities and towns; Computer science; Economic forecasting; Educational institutions; Environmental economics; Genetic algorithms; History; Mathematical model; Parameter estimation; Predictive models; barycenter moving; genetic algorithm; prediction; urban cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.173
  • Filename
    4723092
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=480471