水土保持研究2011，Vol.18Issue(4)：237-240,4.
基于GIS和改进BP神经网络的天然白桦林健康评价
Assessment on Health of Natural Betula platyphylla Forest Based on GIS and BP Neural Networks
摘要
Abstract
On the bases of sample investigation and related ecosystem data collected by others,assessment on forest health of Liangjiang Forest Farm in Changbai Mountains was performed by the GIS platform and the improved BP neural network model.Improved BP neural network has great advantages in solving the complex forest ecosystem.Using Levenberg-Marquardt algorithm was effective than the traditional BP and some other improved methods,while it could converge much quickly and has high accuracy.Evaluation results show that the total area of 22.43% of Natural Betula platyphylla forest is very healthy,49.93% of that is healthy,19.06% of that is sub-healthy,while only 8.59% of which is unhealthy.The main purpose of this paper is to provide a solid theoretical support for forest health management and multifunctional use of forests.关键词
GIS/改进BP神经网络/天然白桦林/健康评价/长白山/两江林场Key words
GIS/improved BP neural network/natural Betula platyphylla forest/health assessment/Changbai mountains/Liangjiang forest farm分类
农业科技引用本文复制引用
施明辉,赵翠薇,郭志华,刘世荣..基于GIS和改进BP神经网络的天然白桦林健康评价[J].水土保持研究,2011,18(4):237-240,4.基金项目
林业公益行业专项重大项目 （）
林业公益项目 （）
国家“十一五” 科技支撑计划项目 （）
