摘要
应用人工神经网络的原理和方法,结合主要林分因子建立林分出材率预测的多层神经网络模型。检验结果表明:所建立的预测模型,平均预测精度达到96.45%,可以对林分出材率作出准确有效的预测。
The article applies the principle and the method of the artificial neural network, and use the influence factors of stand, and builds a muhilayer neural network model to forecast the stand volume ratio.The result indicates that,the precision of the forecast model has achieved 96.45%,and it may make the accurate effective forecast to the stand volume ratio.
出处
《中南林业调查规划》
2007年第4期43-46,共4页
Central South Forest Inventory and Planning
基金
福建省青年人才项目(2006F3015)
永林(集团)股份有限公司资助项目(021882)
关键词
林分出材率
人工神经网络
BP模型
stand volume ratio
artificial neural network
BP algorithm
