本文以闽北地区马尾松造纸原料林调查资料为基础，应用人工神经网络理论，建立了马尾松造纸原料林密度调节的三层前馈反向传播神经网络模型．仿真结果表明该模型效果较理想，可用于指导生产实践 Based on the investigation data of the paper-making forest of masson pine in North Fujian, this paper established a three-layer feed forward reverse propagation neural network model based on artificial neural network theory. Simulation results show that the model is more effective and can be used to guide production practice