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KIAM Preprint  198, Moscow, 2018
Authors: Sorokin A.V., Shirobokov M.G.
Correction and prediction of the spacecrafts orbital motion by artificial neural networks
Abstract:
The problem of transfer between two points of space exploiting the artificial neural networks is considered. It is assumed that the onboard computer of the spacecraft is equipped by the two neural networks: the predictive one and the controlling one. Both the neural networks are trained within the framework of the unperturbed two-body problem model. The purpose of the work is to study the capabilities of the proposed neural networks for the correction of motion in cases of perturbations.
Keywords:
artificial neural network, orbital motion, motion prediction, motion correction
Publication language: russian,  : 28
Research direction:
Theoretical and applied problems of mechanics
Russian source text:
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