Convergence properties of a modified Hopfield-Tank model.
The neural network model of Hopfield and Tank applied to the Travelling Salesman Problem, has been analyzed in order to improve its convergence properties. A simple change of the parameter sets always allows to reach states corresponding to valid tours. Besides a more interesting modification has been presented by adding a new term to force expression. This modified model has a high value of convergence and it is able to find short tours. So, more confidence can be given to these type of models, and real applications could be performed.
Bizzarri
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AR
International School for Advanced Studies, Trieste, Italy.
D000465:Algorithms; D000818:Animals; D006801:Humans; D008433:Mathematics; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D011340:Problem Solving