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- W2735161327 abstract "We demonstrate the application of a new self-organized learning neural network, the Self-Enforcing Network SEN, to the problem of selecting the right direction of operation for runways at the airport of Frankfurt/M. The SEN is given real data on different days for the forecasted wind situations and generates a recommendation for the selection of a suited direction of operation. The results demonstrate that the recommendations of SEN are sound ones insofar that they are very compatible with the factual decisions of air traffic control at Frankfurt Airport. In some cases air traffic control could have planned earlier with the results of SEN. Hence this SEN system demonstrates that it could be a helpful decision support system for this problem." @default.
- W2735161327 created "2017-07-21" @default.
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- W2735161327 date "2017-05-01" @default.
- W2735161327 modified "2023-09-27" @default.
- W2735161327 title "A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecasts" @default.
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- W2735161327 doi "https://doi.org/10.1109/ijcnn.2017.7965924" @default.
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