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Neural networks as a tool for the assessment of human pilot behaviour in wind shear

  • Published:1999-01 Issue:1 Volume:3 Page:39-48
  • ISSN:1270-9638
  • Container-title:Aerospace Science and Technology
  • language:en
  • Short-container-title:Aerospace Science and Technology

Author:

Martens D

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference11 articles.

1. How to Fly Windshear;Camus;AGARD-AG-301,1990

2. Die Vertikalstruktur nächtlicher Grenzschichtstrahlströme;Kottmeier,1982

3. Beitrag zur Anwendung Neuronaler Netze in der Flugregelung;Krogmann,1995

4. Potentielle Anwendung Neuronaler Netze in der Flugführung;Krogmann;DGLR-Jahrbuch,1993

5. Untersuchungen zum Pilotenverhalten beim manuell gesteuerten Einflug in Scherwindsituationen während des Landeanflugs;Krüger;DGLR-Jahrbuch,1994

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1. Model-based microburst identification using a hybridized extended Kalman filter with genetic algorithm;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2022-08-15

2. Data-Driven Pilot Behavior Modeling Applied to an Aircraft Offset Landing Task;Advances in Intelligent Systems and Computing;2017-06-24

3. Review of control models for human pilot behavior;Annual Reviews in Control;2017

4. The Adaptive Radial Basis Function Neural Network for Small Rotary-Wing Unmanned Aircraft;IEEE Transactions on Industrial Electronics;2014-09

5. The Role of the Helicopter Pilot in Terms of Relevant Requirements for Helicopter Takeoff;The International Journal of Aviation Psychology;2014-07-03
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