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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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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 OU Guang-long et al (Key Laboratory of Biodiversity Conservation in Southwest China,State Forestry Administration,Southwest Forestry College,Kunming,Yunnan 650224);Preliminary Study on the Close-to-natural Forestry Construction Model of the Cultivation Base for the Improved Varieties of Jatropha curcas L. in Shuangjiang County of Yunnan Province[J];Journal of Anhui Agricultural Sciences;2008-34
2 DENG Lun-xiu et al(Chinese Academy of Forestry,Beijing 100091);The Research Present Situation and Prospects on the Pinus massoniana Lamb. Plantation[J];Journal of Anhui Agricultural Sciences;2009-07
3 ZHI Ying(Department of Mathematics,Anshan Normal University,Anshan Liaoning 114007,China);Research on Application of Web-based Computer-aided Mechanical Creative Design System[J];Journal of Anshan Normal University;2008-04
4 CAO Shouhua,YUAN Zhenzhou,HAN Baoming,LI Dewei(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044,China);Classification for Passenger Transport Integrative Hubs Based on SOFM Neural Network[J];Journal of Beijing Jiaotong University;2008-06
5 XU Yuan-qing1,CHEN Xiang-guang1,WANG Li2,ZHANG Qi-hong3 (1.School of Chemical Engineering and Environment,Beijing Institute of Technology,Beijing 100081,China;2.School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China;3.Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China);An Improved Neural Network Ensemble for the Prediction of PMV Index[J];Transactions of Beijing Institute of Technology;2007-02
6 ZHU Li 1,2 ;QIN Fu-cang1;YAO Yun-feng1;AN Bu-ke3;YU Xin-xiao4.1 College of Ecology and Environmental Science,Inner Mongolia Agricultural University,Huhhot,010019,P.R.China;2 Department of Resource and Environment,Baotou Normal College,014030,P.R.China;3 Inner Mongolia Electronic Information Vocational Technical College,Huhhot,010010,P.R.China;4 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.;Dynamic change of protection forest pattern in middle-scale watershed in rocky mountain areas of northern China[J];Journal of Beijing Forestry University;2008-S2
7 Dai Xiaojuan1,2 Lin Xiaozhu1 Zhou Xiaozheng1(1 Department of Automation,Beijing Institute of Petro-chemical Technology,Beijing 102617;2 School of information technology,Beijing University of Chemical Technology,Beijing 100029);Chinese Classification Based on Improved ART1 Algorithm[J];Journal of Beijing Institute of Petro-Chemical Technology;2009-01
8 HU Zhi-jun,WANG Hong-bin(Department of Computer Science,Xinzhou Teachers University,Xinzhou 034000,China);Research on BP Neural Network Numerical Predicting Method[J];Journal of Changchun Normal University;2006-10
9 ;A Improved BP Neural Network Algorithm & Its Application In The Non-Linearity Correction Of Intelligent Sensor System[J];Sensor World;2006-02
10 ;The Defects and Improving Methods of Principal Component Analysis in Identification Analysis based on Electronic Nose[J];Sensor World;2008-10
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Chinese Journal Full-text Database 2 Hits
1 Huang Qinglin (Fujian College of Forestry,Nanping 353001);A Brief Review on Sustainable Forest Management[J];JOURNAL OF FUJIAN COLLEGE OF FORESTRY;1999-03
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