Dynamical Hysteresis Neural Networks for Graph Coloring Problem

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We analyze synchronization phenomena in a dynamical hysteresis neural network. The dynamical hysteresis neural network accounts a phase difference in each neuron to be an information. Based on this result, we propose an application for solving 2-colorable graph coloring problems.

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