Aerospace Instrument-Making Annotation << Back SAFETY AND QUALITY MANAGEMENT OF A REAL-TIME FLIGHT EXPERIMENT USING NEURAL NETWORKS V.I. Akhrameev, E.S. Tsvetkov, A.F. Pacshenko, V.P. Shirokikh The article is devoted to the problems of automatic processing of flight information in order to reduce the cost and timing of tests. The developed algorithms for recognizing test modes and evaluating the correctness of their implementation are based on the use of neural networks: a multilayer perceptron and a Kohonen network. The algorithm and its application for the evaluation of the experiment are described. Keywords: real-time flight experiment control, flight mission, aircraft control, neural networks, mathematical and bench modeling, flight research and testing, automatic flight information processing, test modes in flight experiment, multilayer perceptron, Kohonen network. DOI: 10.25791/aviakosmos.1.2023.1317 Pp. 25-39.