Title :
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
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;
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
DOI :
10.1109/ICIC.2010.66
