| Url |
http://www.cimne.com/webcimne/sigpro/Ficha.aspx?id=165 |
| Acronym |
NEURAL
 |
| Project title |
Neural network computation for fast trajectory prediction |
| Official Website |
http://NO HAY WEB |
| Reference |
278170 |
| Principal investigator |
Roberto LÓPEZ GONZÁLEZ - rlopez@cimne.upc.edu
|
| Start date |
01/04/2011 |
End date |
31/05/2012 |
| Coordinator |
GTD |
| Consortium members |
|
| Program |
FP7 (2007-2013) |
Call |
SP1-JTI-CS-2010-04 |
| Subprogram |
COOPERATION |
Category |
Europeo |
| Funding body(ies) |
EC |
Grant |
43.391,00 € |
| Abstract |
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. |
|