Abstract
The individually adapted neural network model for pilot’s final approach actions modeling allowing for touchdown accuracy forecast at any time instant on glide path is under consideration. Network model optimization algorithm, based on onboard flight recorder data, is suggested. Final approach test modeling on MIG-AT flight simulator by a group of pilots with different flight experience was executed. Results show pilot’s individual flying manner turns out by network architecture, input vector composition, and network parameters.
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Evdokimenkov, V., Kim, R., Krasilshchikov, M., Sebrjakov, G. (2016). Individually Adapted Neural Network for Pilot’s Final Approach Actions Modeling. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_42
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DOI: https://doi.org/10.1007/978-3-319-40663-3_42
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