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
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;
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
DOI :
10.1109/APUAVD.2013.6705283
