本文利用人工神经网络建模技术,以河南农业大学三区内毛白杨人工林99株的断面积平均直径和树高资料为基础,研建了树高曲线人工神经网络BP模型和幂函数模型。通过两个函数模型的比较表明:人工神经网络建模技术精度高、误差小,具有很强的泛化能力。在用幂函数拟合较差的情况下,人工神经网络也取得很高的精度,其拟合效果具有明显的优势。 In this paper, artificial neural network modeling techniques were used to study the BP model and power function model of tree height curve artificial neural network based on the average cross-sectional area and height of 99 Populus tomentosa plantations in Henan Agricultural University. The comparison of two function models shows that artificial neural network modeling technology has high precision, small error and strong generalization ability. In the case of poor power fitting, artificial neural network also achieved high precision, and its fitting effect has obvious advantages.