Date - Heure / Date - Hour
Date(s) - 12/09/2019
10h30 - 11h30
Emplacement / Location
ENAC, bât. Guillaumet, salle G11
A deep learning approach for the shortest path search problem and some perspective applications.
We propose a deep learning approach for shortest path search problem in which the shortest length can be learned via a deep Neuron Network. We also propose an algorithm which permit to run the A-star algorithm in real time for the automatic path search problem in Unmanned Aircraft System Traffic Management. This is a joint work with Stéphane Puechmorel.