安徽农业科学2011，Vol.39Issue(23)：14078-14081,4.
马尾松人工林经营密度模型研究
Study on the Management Density Model of Pinus massoniana Plantation
摘要
Abstract
By adopting the artificial neutral network,the whole-stand growth BP model was established between stand stock and stand density, stand age and site index,then the objective function was constructed based on the whole-stand growth BP model,and finally the improved simplex method was applied to searching the best reserved density and thinning time. The results showed that BP neural network could be used to construct whole-stand growth model,and the fitting results met the stand growth law;through optimizing the objective function with the improved simplex method,the paper could obtain not only the best reserved density,but also the best thinning time.关键词
马尾松/人工神经网络/全林分生长BP模型/改进单纯形Key words
Pinus massoniana/Artificial neural network/Whole stand growth BP model/Improved simplex method分类
农业科技引用本文复制引用
陈晨,刘光武,黄家荣..马尾松人工林经营密度模型研究[J].安徽农业科学,2011,39(23):14078-14081,4.基金项目
河南省科技攻关基金课题(0624050007). （0624050007）
