Forecasting Monsoon Precipitation Using Artificial Neural Networks

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摘要 ThispaperexplorestheapplicationofArtificialIntelligent(AI)techniquesforclimateforecast.ItpresentsastudyonmodellingthemonsoonprecipitationforecastbymeansofArtificialNeuralNetworks(ANNs).UsingthehistoricaldataofthetotalamountofsummerrainfallovertheDeltaAreaofYangtzeRiverinChina,threeANNsmodelshavebeendevelopedtoforecastthemonsoonprecipitationinthecorrespondingareaoneyear,five-year,andten-yearforwardrespectively.Performancesofthemodelshavebeenvalidatedusinga'new'datasetthathasnotbeenexposedtothemodelsduringtheprocessesofmodeldevelopmentandtest.Theexperimentresultsarepromising,indicatingthattheproposedANNsmodelshavegoodqualityintermsoftheaccuracy,stabilityandgeneralisationability.
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出版日期 2001年05月15日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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