From the theory we can propose that linear estimation model of stand biomass can be directly applied to the regional scale.

建立在林分的生物量蓄积量线性估计模型可直接应用到区域尺度。

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Through the model external-test, the average precision of volume model was over 90% and the estimation precision of stand net growth was over 80%.

通过模型的外检验，蓄积平均精度可达90%以上，林分纯生长量的估计精度可达80%以上。

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At last, this paper will also apply the stand density model established with artificial neural network in asset assessment of forest resources and the estimation of growth and harvest.

最后，本文还将把人工神经网络建立的林分密度模型用于森林资源资产评估，进行生长收获的预估。

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At last, this paper will also apply the stand density model established with artificial neural network in asset assessment of forest resources and the estimation of growth and harvest.

最后，本文还将把人工神经网络建立的林分密度模型用于森林资源资产评估，进行生长收获的预估。

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