• DocumentCode
    670276
  • Title

    Forecasting the demand for UAV using different neural networks topology

  • Author

    Chumachenko, O.I. ; Gorbatiuk, V.S.

  • Author_Institution
    Dept. of Tech. Cybern., Nat. Technic Univ. of Ukraine KPI, Kiev, Ukraine
  • fYear
    2013
  • fDate
    15-17 Oct. 2013
  • Firstpage
    62
  • Lastpage
    64
  • Abstract
    According to modern researches and reports there will be significant growth in UAV sector. This paper introduces another method of forecasting that can be used to predict the demand for UAV of different types.
  • Keywords
    autonomous aerial vehicles; demand forecasting; neural nets; topology; UAV sector; demand forecasting; demand prediction; neural network topology; Forecasting; Logic gates; Network topology; Neural networks; Neurons; Time series analysis; Topology; demand forecasting; group method of data handling; neural networks; unmanned aerial vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD), 2013 IEEE 2nd International Conference
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4799-3305-1
  • Type

    conf

  • DOI
    10.1109/APUAVD.2013.6705283
  • Filename
    6705283