DocumentCode
532143
Title
A model for forest resources management based on artificial neural network
Author
Cai, Shuo ; Kang, Xin-gang ; Gong, Zhi-Wen ; Chen, Ping-Teng ; Qin, Lei
Author_Institution
Dept. of Forestry, Beijing Forestry Univ., Beijing, China
Volume
3
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Introduced the method of artificial neural networks, established a three-tier management of forest resources feed-forward back-propagation neural network model. Simulation results show that artificial neural network model can be applied to dynamic simulation of forest resources. And high precision, linear regression equation is a strong correlation. The results clearly demonstrate the superiority of the ANN models to the regression models due to their ability to overcome the problems in forest data. The ANN technique introduced in this study is sufficiently general and has great potential to be applicable to many forest resources management modeling applications providing a very useful tool as an alternative to traditional analysis models.
Keywords
backpropagation; feedforward neural nets; forestry; regression analysis; ANN model; artificial neural network; dynamic simulation; feedforward backpropagation neural network; forest resources management; linear regression equation; regression model; three-tier management; Analytical models; Computer languages; Equations; Fitting; Mathematical model; BP; artificial neural networks; forest resources management; regression analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620045
Filename
5620045
Link To Document