Study on the Forest Resources Quality Evaluation Based on BP Neural Network

Author

Gaojie, Wu ; Tianzhong, Zhao

Author_Institution

Sch. of Inf., Beijing Forestry Univ., Beijing, China

Volume

1

fYear

2010

fDate

4-6 June 2010

Firstpage

235

Lastpage

238

Abstract

The Forest resources are the basic material of forestry production, so forest resources quality directly impact on the forestry production and the multiple benefits of forest resources. The purpose of this study is to analyze and establish a BP neural network model of forest resources quality evaluation. Basing on the regional traits of forest resources and the demand of forest sustainable management, forest resources quality evaluation index system and BP neural network of forest resources quality evaluation were established. Then this model is used to evaluate forest resources in Hubei Province. Results shows that this model has advantages of fast training speed, high precision, and it could accurately evaluate forest resources quality.

Keywords

backpropagation; forestry; neural nets; quality management; sustainable development; BP neural network; Hubei Province; forest resources; forestry production; quality evaluation; sustainable management; Artificial intelligence; Artificial neural networks; Biological system modeling; Electronic mail; Forestry; Mathematical model; Network topology; Neural networks; Neurons; Production; BP neural network; evaluation index system; forest resources quality evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi, Jiang Su

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.66

Filename

5514192