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

โœ Scribed by Aguilar Jose

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
81 KB
Volume
11
Category
Article
ISSN
0893-6080

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โœฆ Synopsis

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 covering problem.

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