摘要
本文应用人工神经网络方法建立了桤柏混交林密度变化的神经网络模型，并与传统模型进行了比较。仿真结果表明，人工神经网络模型可适用于桤柏混交林密度变化规律描述，且优于传统模型。
This article built a model of three level feed toward back propagation neural network to simulate density change law in Alder and Cypress mixed forest,and compared with traditional model.The results of simulating showed that artificial neural network model is satisfactory to express density change law in Alder and Cypress mixed forest,and superior to traditional model.This study will enrich and develop the theory of forest thinning law.
出处
《西北植物学报》
CAS
CSCD
1999年第1期144-150,共7页
Acta Botanica Boreali-Occidentalia Sinica
基金
福建省自然科学基金
关键词
桤柏混交林
人工神经网络
密度变化
Alder and Cypress mixed forest,artificial neural network,density change
