Detection of atmospheric thermal flows by use of artificial neural network

This article analyses the determination of a rising thermal flow with assistance of an artificial neural network. Input data for the artificial neural network are derived from aircraft navigation equipment. The output data of the artificial neural network is the assessment of rising or descending airflow conducted in real time. Simulation is carried out in idealized conditions. The simulation revealed the dependence of absolute error on the vertical air speed component and the aircraft's aerodynamic parameters.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References;
  • Pagination: pp 57-62
  • Serial:
  • Publication flags:

    Open Access (libre)

Subject/Index Terms

Filing Info

  • Accession Number: 01355891
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 19 2011 11:52AM