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- W2378640438 abstract "Due to the special position of ChengShanTou,located at the Eastern most Shandong Peninsula,the winds at ChengShanTou can represent the sea surface winds over the entire Yellow Sea.Based on the NCEP reanalysis data(1o×1o) and the observed data from October 2005 to September 2010,and the interpretation of numerical forecasting products of the T639 model,an artificial neural network model is constructed with the dynamically learning rate back propagation(BP) algorithm to predict the winds at ChengShanTou for 24 and 48 hours.Compared to the winds in ChengShanTou forecasted by the T639 model,the BP model decreases the mean absolute errors of 28.2% for the 24-hour forecast and of 19.7% for the 48-hour forecast.The prediction accuracy is also improved obviously for strong winds above 6 Beaufort scale.Especially,when the gale is completely missed by the T639 forecast,the accuracy rates of the BP prediction are still 25% within 24 hours,and 50% within 48 hours." @default.
- W2378640438 created "2016-06-24" @default.
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- W2378640438 date "2013-01-01" @default.
- W2378640438 modified "2023-09-28" @default.
- W2378640438 title "Applications of the artificial neural network in wind forecast at ChengShanTou station" @default.
- W2378640438 hasPublicationYear "2013" @default.
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