Abstract
The paper considers a class of analytical forecasting methods, a class of probabilistic methods, and methods of artificial neural networks for solving the problem of predicting the state of complex systems on board an aircraft, such as: mathematical simulation, operator method, one-dimensional time series forecasting method, potential function method, zone method, and generalized point method.
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