• DocumentCode
    1579489
  • Title

    A neural network parallel algorithm for Ramsey numbers

  • Author

    Tsuchiya, Kazuhiro ; Takefuji, Yoshiyasu

  • Author_Institution
    Dept. of Electr. Eng. & Appl. Phys., Case Western Reserve Univ., Cleveland, OH, USA
  • fYear
    1992
  • Firstpage
    1166
  • Abstract
    A neural network parallel algorithm for finding Ramsey numbers in two-coloring is described. The Ramsey number R(r,b) is given by the smallest value of N, where all edges of a complete graph of (N-1) vertices are colored either red or blue, and red-colored and blue-colored subgraphs should not form any complete subgraph of r vertices and b vertices, respectively. A superimposed red-colored and blue-colored subgraph is called a Ramsey graph. The parallel algorithm, which is based on the hysteresis McCulloch-Pitts neural network, found five Ramsey numbers successfully. The neural network requires n(n-1) neurons for a Ramsey number of an n-vertex complete graph. The simulation result for the algorithm is so promising that it may be possible to find unknown Ramsey numbers
  • Keywords
    digital simulation; graph colouring; hysteresis; mathematics computing; neural nets; number theory; parallel algorithms; Ramsey numbers; complete graph; hysteresis McCulloch-Pitts neural network; parallel algorithm; simulation; subgraphs; two-coloring; vertices; Artificial neural networks; Biological system modeling; Color; Combinatorial mathematics; Equations; Hysteresis; Neural networks; Neurons; Parallel algorithms; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268617
  • Filename
    268617