摘要
采用人工神经网络方法拟合杉木林分蓄积量与立地质量、林龄、林分密度之间的非线性关系 ,建立了杉木可变密度蓄积量收获预估 BP网络模型 ,并对所建立的模型进行精度检验。检验表明 ,所建模型预测精度高 ,可应用于森林经理调查。
A method of artificial neural network and a model of three level feed toward back propagation neural network of variable density volume prediction for the Chinese fir are introduced, which could be used to simulates the nonlinear relation among site quality?stand age?stand density and stand volume. The result of precision test indicated the prediction accuracy for the BP model was high, which could be applied to inventory data renewal for forestry management and management decision optimization and variable density volume table.
出处
《西北林学院学报》
CSCD
北大核心
2002年第4期87-89,共3页
Journal of Northwest Forestry University
基金
国家自然科学基金"森林经营决策智能化专家模拟系统研究"(3 9870 610 )
