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《Journal of Beijing Forestry University》 2008-S2
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Application of artificial neural network in optimization of vegetation types in watershed

HU Shu-ping1;YU Xin-xiao1;WANG Xiao-ping2;QIN Yong-sheng2;CHEN Jun-qi2.1 Key Laboratory of Soil and Water Conservation & Desertification Combating of Ministry of Education,School of Soil and Water Conservation,Beijing Forestry University,100083,P.R.China;2 Beijing Forestry and Parks Department of International Cooperation,100029,P.R.China.  
Vegetation types of protection forest system are influenced by multi-factors,and with complex nonlinear characteristics.Taking the idea of "nature-approximating forestry",this paper established an optimization model of vegetation types of protection forest system using LM artificial neural network.The training and forecast test of the model was conducted by data of typical basin.Result indiates that the model constructed by Matlab is convenient and fast,with quick convergence rate and high forecast precision.It provides an effective method for optimization of vegetation types of pretection forest system.
【Fund】: “十一五”国家科技支撑计划项目(2006BAD03A02)
【CateGory Index】: S727.2
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