Ranging analysis of analitical and probabilistic methods of complex system state prediction
The paper deals with analytical prediction methods, probabilistic methods and artificial neural network methods used for solving the problem of predicting the state of onboard complex systems, in particular mathematical modelling, operator method, method of predicting an univariate time series, method of potential functions,Β zone method and integrated-point method.
Key words: civil aircraft, integrated module avionics, onboard maintenance system, distributed architecture, onboard radio equipment, predictive models.
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