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《Journal of Southwest Forestry University》 2013-03
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Artificial Neural Network Model of the Hydrological Effects of the Pinus tabulaeformis Plantations in Loess Plateau

ZHAO Ming-yang,SUN Chang-zhong,KANG Lei(Forestry Experiment Center of North China,Chinese Academy of Forestry,Beijing 102300,China)  
Taking the Pinus tabulaeformis plantation in Pianguan County,Shanxi Province,with typical semiarid loess landform and climate characteristics,as the research object,the 5∶ q∶ 1 BP artificial neural network model was established based on the correlations of the variables in the water balance formula by the hypothesis of 'brought by the stand itself',integrating with the actual local conditions of the experimental plots to determine the input and output variables.The neural network model was testified with 567 groups of data observed from 2008 to 2011,and the optimum network structure was obtained as 5∶ 6∶ 1.The results showed that the mean square error was 0.002 888,with the general fitting accuracy as 93.87%,and the testified fitting accuracy was 93.35%.
【Fund】: 国家自然科学基金项目(30170769)资助;; 华北林业实验中心科学试验示范林功能恢复与提升研究项目(CAFYBB2012004)资助
【CateGory Index】: S791.254
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