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
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;
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
DOI :
10.1109/ICCASM.2010.5620045