| 马尾松人工林树高BP模型研究与应用 |
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| 引用本文： | 陈晨,刘光武.马尾松人工林树高BP模型研究与应用[J].安徽农业科学,2012,40(14):8175-8177. |
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| 作者姓名： | 陈晨 刘光武 |
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| 作者单位： | 河南科技大学林业职业学院,河南洛阳,471002;河南科技大学林业职业学院,河南洛阳,471002 |
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| 基金项目： | 河南省科技攻关基金课题 |
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| 摘 要： | 用BP人工神经网络建立了马尾松人工林树高模型,并在树高模型的基础上,提出了马尾松地位指数计算式,从而编制了地位指数表。结果表明:用人工神经网络建立模型拟合精度为94.76%,检验精度为92.15%,所建模型无系统偏差,人工神经网络很适合建立非线性模型。
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| 关 键 词： | 人工林 马尾松 BP模型 优势高 地位指数 |
Study and Application of BP Model for the Tree Height of Pinus massoniana Plantation |
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| Institution: | CHEN Chen et al(Forestry Vocational College,Henan University of Science and Technology,Luoyang,Henan 471002) |
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| Abstract: | A tree height model for Pinus massoniana plantation was established with the BP neural network,and then the calculatin formula of site index was presented,and a site index table was made.The results showed that the fitting precision of BP neural network model was 94.76% and the test precision was 92.15%,the established model had no systematic error,so BP neural network was fitter to establish a nonlinear model. |
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| Keywords: | Plantation Pinus massoniana BP model Dominant height Site index |
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