• DocumentCode
    2710762
  • Title

    Tree Architecture Pattern Distributor: a task decomposition classification approach

  • Author

    Alves, Victor M O ; Cavalcanti, George D C

  • Author_Institution
    Center of Inf. (CIn), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    133
  • Lastpage
    140
  • Abstract
    Task decomposition is a widely used method to solve complex and large problems. In this paper, it is proposed a novel task decomposition approach, named tree architecture pattern distributor (TreeArchPD), which is based on another task decomposition technique, called pattern distributor. The main idea is to design a tree architecture with many distributors instead of using only one distributor as proposed by the original technique. It is also proposed a new class grouping method that aims to optimize the class selection for task decomposition. Many experiments were done and they showed the effectiveness of the proposed approaches.
  • Keywords
    feedforward neural nets; pattern classification; tree data structures; PD method; class grouping method; multilayered feed-forward neural network; task decomposition classification approach; tree architecture pattern distributor; Classification tree analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5178850
  • Filename
    5178850