Neural Model of the Aircraft Landing Phase
Journal Title: Archives of Transport - Year 2012, Vol 24, Issue 2
Abstract
The article deals with mathematical modeling of the aircraft landing phase using artificial neural networks. The network was determined based on the data recorded by an aircraft’s quick access recorder. Networks were developed for each flight under review, which resulted from the different durations of this flight phase. It presents the accuracy results of representation across a flight simulation network. It was analyzed how the structure of the neural network affects the quantitative and qualitative accuracy of the actual flight representation. The determined networks will provide a basis for working out a model, among others, for simulation tests of air traffic and flight evaluation. General conclusions about neural networks and basic ones regarding their practical use were formulated.
Authors and Affiliations
Anna Stelmach
Keywords
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- EP ID EP70052
- DOI 10.2478/v10174-012-0015-3
- Views 120
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