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Content archived on 2024-05-30

Neural network computation for fast trajectory prediction

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)

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

SP1-JTI-CS-2010-04
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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

JTI-CS - Joint Technology Initiatives - Clean Sky

Coordinator

GTD SISTEMAS DE INFORMACION SA
EU contribution
€ 68 925,00
Address
PASEO GARCIA FARIA 17
08005 Barcelona
Spain

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Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (1)

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