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
Link To Document :
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