Using Neural Networks to Predict Aircraft Trajectories

@inproceedings{Fablec1999UsingNN,
  title={Using Neural Networks to Predict Aircraft Trajectories},
  author={Yann Le Fablec and Jean-Marc Alliot},
  booktitle={IC-AI},
  year={1999}
}
This paper deals with the problem of predicting an aircraft trajectory in the vertical plane. A method depending on a small number of starting parameters is introduced and then used on a wide range of cases. The chosen method is based on neural networks. Neural networks are trained using a set of real trajectories and then used to forecast new ones. Two prediction methods have been developed: the first is able to take real points into account as the aircraft flies to improve precision. The… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-2 of 2 references

CAT: Computation of Aircraft Trajectories, version 2

  • Thierry Mandon
  • CENA,
  • 1993
1 Excerpt

PittsA logical calculus of the ideas immanent in nervous activity

  • W.A.W.S. McCulloch
  • Bulletin of mathematics and biophysics,
  • 1943
1 Excerpt

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