NARX Neural Networks Based Time Series Prediction for Amount of Airworthiness Time

TATLI A., KAHVECİOĞLU S.

National Conference on Electrical, Electronics and Biomedical Engineering (ELECO), Bursa, Turkey, 1 - 03 December 2016, pp.130-134 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.130-134
  • Keywords: NARX networks, Airworthiness, Time series prediction, Artificial neural networks performance
  • Anadolu University Affiliated: Yes

Abstract

Aviation, a serious sector, is required to recourse planning intensively. There is a need for foresight in order to eliminate the planless that can lead to high costs and prevent accidents that could cause to fatal consequences. Without doubt, considering inexperienced pilot candidates this situation comes into prominence for profit-oriented flight training organizations. This study contains extracting time series of airworthiness and forecasting amount of daily airworthiness time based on NARX (Nonlineer Auto Regressive Exogenous) neural network models.