基于人工神经网络的森林资源预测研究

Prediction Study of Forest Resources Based on the Artificial Neural Network

应用人工神经网络方法分别建立土地资源预测、森林蓄积量预测、各龄组蓄积量预测三层前馈反向传播神经网络模型对森林资源进行预测模拟 .预测结果表明 :在小样本条件下 ,森林资源预测神经网络模型预测精度较高 ,开辟了森林资源预测新途径 .

This paper applies the artificial neural network to the building of models of three-level forward-feeding back-propagation neural network for the prediction of forest resources including the land resources, forest stock, and the stock of all age groups. The results of experimental prediction show that the accuracy of prediction by the neural network models is very high even if the samples are small plots. They open up a new way to predict forest resources.