| 基于人工神经网络的杉木可变密度蓄积量收获预估模型 |
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| 引用本文： | 邓立斌,李际平.基于人工神经网络的杉木可变密度蓄积量收获预估模型[J].西北林学院学报,2002,17(4):87-89. |
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| 作者姓名： | 邓立斌 李际平 |
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| 作者单位： | 国家林业局调查规划设计院,北京,100714; 中南林学院资源与环境学院,湖南株洲,412006 |
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| 基金项目： | 国家自然科学基金"森林经营决策智能化专家模拟系统研究"( 39870610) |
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| 摘 要： | 采用人工神经网络方法拟合杉木林分蓄积量与立地质量、林龄、林分密度之间的非线性关系,建立了杉木可变密度蓄积量收获预估BP网络模型,并对所建立的模型进行精度检验.检验表明,所建模型预测精度高,可应用于森林经理调查、数据更新与经营决策优化以及编制可变密度收获表.
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| 关 键 词： | 人工神经网络 可变密度 蓄积量 BP模型 |
| 文章编号： | 1001-7461(2002)04-0087-03 |
| 修稿时间： | 2001年12月31 |
Variable Density Volume Prediction Model for Chinese Fir Based on Artificial Neural Network |
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| DENG Li bin ,LI Ji ping.Variable Density Volume Prediction Model for Chinese Fir Based on Artificial Neural Network[J].Journal of Northwest Forestry University,2002,17(4):87-89. |
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| Authors: | DENG Li bin LI Ji ping |
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| Institution: | DENG Li bin 1,LI Ji ping 2 |
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| Abstract: | A method of artificial neural network and a model of three level feed toward back propagation neural network of variable density volume prediction for the Chinese fir are introduced, which could be used to simulates the nonlinear relation among site quality?stand age?stand density and stand volume. The result of precision test indicated the prediction accuracy for the BP model was high, which could be applied to inventory data renewal for forestry management and management decision optimization and variable density volume table. |
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| Keywords: | artificial neural network variable density stand volume BP model |
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