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TRIMIS

Neural network computation for fast trajectory prediction

Project

Neural - Neural network computation for fast trajectory prediction


Funding origin:
European
European Union
STRIA Roadmaps:
Other ()
Transport mode:
Airborne
Airbone
Transport sectors:
Passenger transport
Passenger transport
Freight transport
Freight transport
Duration:
Start date: 01/04/2011,
End date: 01/05/2012

Status: Finished
Funding details:
Total cost:
€149 755
EU Contribution:
€112 316

Overview

Objectives:

The Neural project proposed 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 allowed 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 Centre for Numerical Methods in Engineering (CIMNE), a world-wide reference centre in its area.

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