• DocumentCode
    2415123
  • Title

    Recall of Patterns Using Morphological and Certain Fuzzy Morphological Associative Memories with Applications in Classification and Prediction

  • Author

    Sussner, Peter ; Valle, Marcos Eduardo

  • Author_Institution
    State Univ. of Campinas, Sao Paulo
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    209
  • Lastpage
    216
  • Abstract
    Morphological associative memories (MAMs) are based on a lattice algebra known as minimax algebra. In previous papers, we gained valuable insight into the storage and recall phases of gray-scale autoassociative memories. This paper extends these results to the heteroassociative and to the fuzzy case in view of the fact that a gray-scale MAM model can be converted into a fuzzy MAM model that coincides with the Lukasiewicz IFAM by applying an appropriate threshold. The paper includes some experimental results concerning applications of MAM and fuzzy MAM models in classification and prediction.
  • Keywords
    algebra; content-addressable storage; fuzzy neural nets; fuzzy set theory; minimax techniques; pattern classification; appropriate threshold; fuzzy gray-scale morphological associative memories; fuzzy neural network; lattice algebra; minimax algebra; pattern classification; Algebra; Associative memory; Fuzzy neural networks; Gray-scale; Lattices; Minimax techniques; Morphology; Multi-layer neural network; Neural networks; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2006 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9488-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.2006.1681716
  • Filename
    1681716