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- W2107572420 abstract "Wind shear is a conventionally unpredictable meteorological phenomenon which presents a common danger to aircraft, particularly on takeoff and landing at airports. This paper describes a method for forecasting wind shear using an advanced paradigm from computational intelligence, chaotic oscillatory-based neural networks (CONN). The method uses weather data to predict wind velocities and directions over a short time period. This approach may have a wide variety of applications but from the aviation forecast perspective, it can be used in aviation to generate wind shear alerts." @default.
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- W2107572420 date "2008-06-01" @default.
- W2107572420 modified "2023-09-25" @default.
- W2107572420 title "Wind shear forecasting by Chaotic Oscillatory-based Neural Networks (CONN) with Lee Oscillator (retrograde signalling) model" @default.
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- W2107572420 doi "https://doi.org/10.1109/ijcnn.2008.4634078" @default.
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