• DocumentCode
    303271
  • Title

    Tiling algorithm with fitting violation function for analog neural array

  • Author

    Asai, Hideki ; Nakayama, Takeshi ; Ninomiya, Hirosh

  • Author_Institution
    Dept. of Syst. Eng., Shizuoka Univ., Hamamatsu, Japan
  • Volume
    1
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    565
  • Abstract
    This paper describes a neuro-based optimization algorithm for tiling with polyominoes. First, we review the previous neuro-based parallel algorithm for the tiling problem where the maximum neural array is used. Next, we propose a robust neuro-based tiling algorithm using the modified energy function which includes the fitting violation function of the polyominoes and the analog neural array. Finally, we compare our algorithm with the previous one and show that our method is much more vigorous and practical for larger tiling problems
  • Keywords
    neural nets; optimisation; parallel algorithms; analog neural array; fitting violation function; maximum neural array; neuro-based optimization algorithm; neuro-based parallel algorithm; polyominoes; tiling algorithm; Degradation; Fires; Hopfield neural networks; Neural networks; Neurons; Parallel algorithms; Robustness; Stochastic resonance; Systems engineering and theory; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.548957
  • Filename
    548957