FIELD: aircraft engineering.
SUBSTANCE: method is based on the use of Kohonen artificial neural networks in a neural network state classifier for solving issues of diagnosing information-converting elements of aircraft on-board equipment based on machine learning, as well as multilayer unidirectional artificial neural networks of direct propagation with a sigmoid activation function of neurons in the hidden layer, and a linear function activation of neurons in the output layer in the neural controller.
EFFECT: solution to the problem of on-board equipment diagnostics, which allows to identify equipment malfunctions.
1 cl, 5 dwg
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