Neural network method of evaluation parameters state aircraft at results of measurements

Technical cybernetics. Information technology. Computer facilities


Аuthors

Budkina E. M.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

e-mail: emb0909@rambler.ru

Abstract

This article presents theoretical analysis of using neural networks for forecasting of parameters, which characteristic the aircraft state based on the results of trajectory measurements. The principle possibility of using this method demonstrates on the results of values of carrier rocket speed.


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