Application of artificial neural networks in typhoon surge forecasting

A typhoon-surge forecasting model was developed with a back-propagation neural network (BPN) in the present paper. The typhoon's characteristics, local meteorological conditions and typhoon surges at a considered tidal station at time t−1 and t were used as input data of the model to forecast t...

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Veröffentlicht in:	Ocean engineering 2007-08, Vol.34 (11), p.1757-1768
Hauptverfasser:	Tseng, C.M., Jan, C.D., Wang, J.S., Wang, C.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Back-propagation neural network Earth, ocean, space Evaluation index Exact sciences and technology External geophysics Meteorology Surge forecasting Typhoon surge Winds and their effects
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