28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia
Paper ICAS 2012-5.2.2
DEVELOPMENT OF THE AUTOMATED SYSTEM ON THE BASIS OF NEURAL NETWORKS FOR FLIGHT SAFETY OF AIRCRAFT
A. V. Lukyanov, A. A. Bragin
SibNIA, Russian Federation
Keywords: neural network, elman, hopfield, acs
The concept is proposed and a model of the automated system to ensure the aircraft safety based on the interaction of associative and recurrent neural networks is developed. Architectures of the used Elman and Hopfield neural networks are modified. Preliminary results confirming the correctness of the chosen concept are given.
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