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.%A tree height model for Pinus massoniana plantation was established with the BP neural network,and then the calculatin formula of site index wax 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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