Yildirim, Şahin2020-09-112020-09-112015-04-07Recent Innovations in Mechatronics, Vol. 2 No. 1-2. (2015) , 1-6.https://hdl.handle.net/2437/295710Commerical aircrafts are very important part for airway travelling. In spite of high technology on aircrafts, there is still fatality accidents in the world. Because of this reason, it is very important criteria to analyse noises of main elements of the air-craft systems. In tis study, an aircraft’s main disturbances are analysed with proposed neural networks. Firstly, the noises of the jet, turbine and fan were measured from the aircraft. Secondly, the measured parameter values were predicted the proposed neural networks. The results of the proposed neuarl approaches were shown that this type of neural predictors will be employed to predict aircrafts unpredicted disturbances in real time applications.application/pdfNeural predictornoiseturbibefanjet of aircraftfolyóiratcikkOpen Accessby the authorshttps://doi.org/10.17667/riim.2015.1-2/9.Recent Innovations in Mechatronics1-2.22064-9622