Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- natural sciencesmathematicsapplied mathematicsnumerical analysis
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
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Topic(s)
Call for proposal
SP1-JTI-CS-2010-04
See other projects for this call
Funding Scheme
JTI-CS - Joint Technology Initiatives - Clean SkyCoordinator
08005 Barcelona
Spain