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.
LogoEntFinanc LogoPrograma