Summary

International Symposium on Nonlinear Theory and its Applications

2008

Session Number:B4L-E

Session:

Number:B4L-E4

A Heuristic Approach to Graph Coloring Problems Using a Complex-Valued Neural Network

Gouhei Tanaka,  Kazuyuki Aihara,  

pp.-

Publication Date:2008/9/7

Online ISSN:2188-5079

DOI:10.34385/proc.42.B4L-E4

PDF download (244.5KB)

Summary:
Complex-valued neural networks are widely used to process not only complex-valued information but also multivalued one. For instance, multivalued representation with a complex-valued neuron is more suitable for dealing with multicolor images than binary representation with a real-valued neuron, because less neurons are needed. In seeking for another beneficial application of a complex-valued neuron, we demonstrate that a complex-valued neural network can provide a heuristic approach to graph coloring problems.