中文摘要：

以河南省博爱县毛白杨农田防护林带为研究对象，应用人工神经网络建模技术，以平均胸径为输入变量，以林分密度为输出变量，建立BP人工神经网络模型，用毛白杨的实际数据进行模型训练，选出的最佳模型，拟合准确度为98．18％，并与Reineke的林分密度指数模型比较，结果进一步表明，人工神经网络是一种有效的林分密度指数模拟技术。

英文摘要：

Taking the Populus tomentosa shelterbelt in Boai County, Henan Province as research object the BP artificial neural network model was established by using artificial neural network modeling technology, in which the average of diameter at breast height was used as the input variable, stand density as the out- put variable. After training the best structure of the model was selected with the accuracy of 98. 18%. Comparing with Reineke＇s stand density index model, the results showed that the artificial neural network was an effective stand density index modeling technique.