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《Journal of Sichuan University(Engineering Science Edition)》 2007-02
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Data Adaptability of BP ANN in the Prediction of Daily Flow

LI Cun-jun1,DENG Hong-xia2,ZHU Bing2,WANG Wen-sheng2(1.School of Architecture and Environment,Sichuan Univ.,Chengdu 610065,China;2.School of Water Resource and Hydropower,Sichuan Univ.,Chengdu 610065,China)  
In order to improve the prediction precisionof BP ANN for runoff in day,the training and adjusting process of S nerve-cell was analyzed,the standard of data initiative adaptability to ANN was proposed,and several kinds of non-linear transfer for daily runoff with a view to characteristic of hydrology data was givenon the basis of increasing smoothness.The daily runoff in 29 years of Pingle Station in Guangxi province was predicted by ANN after non-linear smoothing transferring.The results showed that days in 10% relatively error averagely increase 47.8%,and days in 20%,relatively error averagely increase 35.6%.
【Fund】: 国家自然科学基金资助项目(50679047)
【CateGory Index】: P333
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