Definition of an energy function for the random neural to solve optimization problems

  • Jose A
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Abstract

In this paper, we propose a general energy function for a new neural model, the random neural model of Gelenbe. This model proposes a scheme of interaction between the neurons and not a dynamic equation of the system. We then apply this general energy function on different optimization problems: the graph partitionning problem and the minimum node coveting problem.

Author-supplied keywords

  • Energy function
  • Graph partitionning
  • Minimum node coveting
  • Neural networks
  • Optimization problems

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