Paper Title:
Based on Artificial Neural Network Modeling of White Birch Natural Forest at Daqing Mountain in Inner Mongolia
  Abstract

Make natural forest birch at Da Qingshan nature reserves in Inner Mongolia as the research object. The data is from the National Second-Class investigation data in 2006 by Inner Mongolia survey and design institute of forestry in 2006. Take 8 forest centre as study areas. All these datas would be sifted, and chosen the datas which the varieties of trees is white birch and the formation of the tree species is pure forest classes. The total of data is 4785. Use of Matlab software log-the sigmoid type function (logsig) and linear function (purelin) for the role of neurons. Based on the function of the concept of stand growth model, we choose age requirement (A), status level (N) and crown density (S) as input variables and the forest accumulation per hectare (M) as output variables to build and ttrain the stand growth BP artificial neural network model. And test the model fitting precision and inspection accuracy , the model fitting precision is 99.93%, inspection accuracy is 97.79%, these show that neural network modeling has better fitting precision and adaptability for the stand growth, and has good prediction ability.

  Info
Periodical
Advanced Materials Research (Volumes 347-353)
Chapter
Chapter 1: Development and Utilization of Solar Energy
Edited by
Weiguo Pan, Jianxing Ren and Yongguang Li
Pages
16-21
DOI
10.4028/www.scientific.net/AMR.347-353.16
Citation
Y. Xiao, Q. L. Zhang, Z. H. Zhao, C. S. Song, "Based on Artificial Neural Network Modeling of White Birch Natural Forest at Daqing Mountain in Inner Mongolia", Advanced Materials Research, Vols. 347-353, pp. 16-21, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yue Ren Wang
Chapter 4: Electronics and Microelectronics, Embedded and Integrated Systems, Communications, Power and Energy, Electric and Magnetic Systems
Abstract:With the interconnection of the large-scale wind power, wind power forecasting is particularly important to the dispatcher of power grid....
1107
Authors: Jian Guo Yang, Lan Xu, Zhi Jun Lu, Qian Xiang, Bin Liu
Chapter 4: Artificial Intelligence and Expert Systems, Algorithms and Applied Computational Methods
Abstract:Quality prediction is an important means of the quality management in modern spinning production. This paper proposed a yarn quality...
377