• DocumentCode
    3143055
  • Title

    Phenomenons and Methods: Uncertainty in Internal Symmetry Nets with Backpropagation in Image Processing

  • Author

    Li, Guanzhong

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    327
  • Lastpage
    330
  • Abstract
    Internal symmetry nets are a new developed class of cellular neural networks. It originated from internal symmetry quantum physics, and noted by five irreducible representations from group theory. In this paper, uncertainty of the nets in a series of image processing tasks will be analyzed and the methods to deal with problems will be showed after each step of analysis.
  • Keywords
    backpropagation; group theory; image processing; backpropagation; group theory; image processing; internal symmetry nets; internal symmetry quantum physics; Backpropagation; Cellular neural networks; Equations; Image analysis; Image processing; Image segmentation; Intelligent networks; Lattices; Physics; Uncertainty; back propagation; internal symmetry; momentum and learning rate; overfitting; recurrent cycles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3619-4
  • Type

    conf

  • DOI
    10.1109/IUCE.2009.133
  • Filename
    5223066
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3143055