DocumentCode
554022
Title
Notice of Retraction
Studying diameter distribution of natural secondary stand based on artificial neural network
Author
Dongfeng Yan ; Qiuling Zhang ; Jiarong Huang
Author_Institution
Coll. of Forestry, Henan Agric. Univ., Zhengzhou, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
848
Lastpage
851
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Taking the investigated data from 40 samples plots of natural secondary oak stand in Baotianman natural reserve for the research object, BP-ANN model was created by using relative diameter of tree as the input variable, and accumulated frequency of tree number as output variable. Through training and optimal seeking by the software of MATLAB, the idea network model was created. In the performance analysis of 7 models of main tree species, the fitting accuracy is 96.92% to 100%; in the test analysis of the created model by not used data, the test accuracy is 97.95%; and in the X2 test, the fitting effect is remarkable. The results indicated that ANN method is a more effective way to model diameter distribution of natural secondary oak stand.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Taking the investigated data from 40 samples plots of natural secondary oak stand in Baotianman natural reserve for the research object, BP-ANN model was created by using relative diameter of tree as the input variable, and accumulated frequency of tree number as output variable. Through training and optimal seeking by the software of MATLAB, the idea network model was created. In the performance analysis of 7 models of main tree species, the fitting accuracy is 96.92% to 100%; in the test analysis of the created model by not used data, the test accuracy is 97.95%; and in the X2 test, the fitting effect is remarkable. The results indicated that ANN method is a more effective way to model diameter distribution of natural secondary oak stand.
Keywords
forestry; learning (artificial intelligence); neural nets; vegetation; Baotianman natural reserve; MATLAB; accumulated tree number frequency; artificial neural network; diameter distribution study; natural secondary oak stand; training; Accuracy; Analytical models; Artificial neural networks; Data models; Fitting; Mathematical model; Vegetation; artificial neural network; diameter distribution; natural secondary oak stand; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022145
Filename
6022145
Link To Document