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Neural network computation for fast trajectory prediction

Objectif

The Neural project proposes to take advantage of the neural networks capabilities to approximate the aircraft performance models in order to achieve the High Speed Numerical Integrator pursued by the MTM. The Neural development would allow SGO ITD to evaluate the potential benefit of the Neural Network for improving the access to the performance data.

The Neural consortium was created to join the aeronautics and embedded experience of gtd and all the expertise in optimal control and high speed numerical integration with neural networks of the International Center for Numerical Methods in Engineering (CIMNE), a world-wide reference center in its area.

Appel à propositions

SP1-JTI-CS-2010-04
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Coordinateur

GTD SISTEMAS DE INFORMACION SA
Contribution de l’UE
€ 68 925,00
Adresse
PASEO GARCIA FARIA 17
08005 Barcelona
Espagne

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Région
Este Cataluña Barcelona
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Contact administratif
Florent Birling (Mr.)
Liens
Coût total
Aucune donnée

Participants (1)