The applicability of the method of managing an aero gas turbine engine using wavelet neural networks is considered in this article. The use of wavelet functions provides the traditional neural network of local approximation, which provides rapid training of the network and reduces the typical for multi-layer perceptrons dependence of the quality of learning from the sequence of submission of training data. The structural scheme of the control system and algorithm for determination of the number of wavelet-bases and the size of the network are developed.
Keywords: Algorithm, Aviation Gas Turbine Engine, Control System, Wavelet Neural Network
