[1]陈晨,刘光武,康文涛,等.马尾松人工林地位指数BP模型研究马尾松人工林地位指数BP模型研究[J].西北林学院学报,2009,24(02):128-130.
 CHEN Chen,LIU Guang wu,KANG Wen tao,et al.Site Index BP Model of Masson Pine Fortunei Plantation[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2009,24(02):128-130.
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马尾松人工林地位指数BP模型研究马尾松人工林地位指数BP模型研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第24卷
期数:
2009年02期
页码:
128-130
栏目:
出版日期:
2009-03-30

文章信息/Info

Title:
Site Index BP Model of Masson Pine Fortunei Plantation
作者:
陈晨1 刘光武1 康文涛1 黄家荣2*
(1. 河南科技大学 林业职业学院,河南 洛阳471002;2. 河南农业大学 林学园艺学院,河南 郑州450002)
Author(s):
CHEN Chen1 LIU Guangwu1 KANG Wentao1 HUANG Jiarong2*
(1.The Forestry Vocational College, Science and Technology University of Henan,Luoyang,Henan 471002, China;2.College of Forestry and Horticulture,Henan Agricultural University,Zhengzhou,Henan 450002, China)
关键词:
人工林马尾松Richards方程改进单纯形法BP模型地位指数
Keywords:
fortunei plantation Pinus massoniana Richards formula improved simplex method BP model site index
分类号:
S758.57
文献标志码:
A
摘要:
用BP人工神经网络和Richards方程2种方法建立了马尾松人工林地位指数模型,其中Richards方程的参数由改进的单纯形法求解。研究结果表明,用人工神经网络建立模型拟合精度为94.52%,检验精度为92.15%,所建模型无系统偏差,与Richards方程相比,具有较好的拟合效果,人工神经网络更适合建立非线性模型。
Abstract:
The paper modeled the site index of masson pine fortunei plantation with BP Neural Network and Richards formula whose parameters were calculated by improved simplex method. The results demonstrated that the fitting precision of BP Neural Network model was 94.52% and the test precision was 92.15%, the established model possessed better drawing up effect than Richards formula, so BP Neural Network was more suitable to establish nonlined model.

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备注/Memo

备注/Memo:
收稿日期:20080612修回日期:20081006基金项目: 河南省科技攻关基金课题(0624050007)。作者简介:陈晨,女,硕士,讲师,研究方向:森林经营管理。Email:chenchenforest@yahoo.com.cn*通讯作者:黄家荣,男,教授,主要从事森林管理方面的教学和科研工作。Email:huangjiarong137@163.com
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