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Time resolution for defining an optimal path with neural networks and graph structuring

This paper presents the applicability of neural networks and graph structuring methods in the field of computer networks administration. As data transmission infrastructures have become large technology interconnected domains, the utilizations and performances of these networks, are having various influential factors that act on their overall well functioning and impose a constant tuning of the communication medium. The paper proposes a method of using the prediction capabilities of neural networks and graph structures, to shape the delays in routing for finding optimal paths in networks.