摘要
以94 a树龄华山松Pinus armandii解析木数据为研究对象,利用GM(1.1)灰色预测模型,基于数值分析软件DPS,建立了华山松生长量预测模型并验证,解决了林木生长量的预测难题。灰色模型预测值C=0.2652(很好),p=1.0000(很好),结果表明GM(1,1)模型预测精度较高,预测可靠。验证了GM(1,1)灰色预测在林木生长量预测中应用的正确性,该模型在华山松生长量预测方面有较强的实际应用价值。
Based on the 94-year-old Pinus armandii resolve wood data,by using gray prediction GM model and DPS numerical analysis software,the forecast model of growth amount was set up and validated,thus resolving the forecasting difficult problem of tree growth volume.The results show that the grey model prediction value was C = 0.2652（good level）,p = 1.0000（good level）,so the GM（1,1） prediction model had a higher prediction accuracy,and was verified to be correctness,have stronger practical value in forecasting tree growth volume of Pinus armandii.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2013年第6期94-96,121,共4页
Journal of Central South University of Forestry & Technology
基金
林业科技成果国家级项目推广:都市森林景观三维可视化表达技术示范推广(项目编号:201146)
