NDLI: Diameter distribution prediction of populus shelterbelts based on artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Fang Guo Guangqin Gao Jiarong Huang Liuxi Wang Dandan Wang
Copyright Year	2011
Description	Author affiliation: College of Forestry, He'nan Agricultural University, Zhengzhou, 450002, China (Fang Guo; Guangqin Gao; Jiarong Huang; Liuxi Wang; Dandan Wang)
Abstract	Diameter distribution is used to predict stand stock, timber volume and stand yield in most forest management. In the paper, opulus shelterbelts in Boai County were analyzed. A model to predict stand diameter distribution was constructed with artificial neural network(ANN) approach by using the average stand diameter, the coefficient of variation of diameter as well as relative diameter as input variables, and cumulative frequency of tree number as output variables. The structure of the optimum model was 3∶11∶1 and the total fitting accuracy was 98.18 %. With respect to the model, the max, min and average fitting accuracy of the accumulated frequency could be calculated, which is 99.93 %, 88.48 % and 98.20 %. The corresponding prediction accuracy was 99.70 %, 94.36 % and 97.56 %, which has a similar characteristic to that of fitting accuracy. As in forestry practice, a model whose average accuracy is 95% is reliable enough to meet the practice request. Consequently, it can be concluded that the model works quite well and ANN approach can be used to perform the nonlinear systems such as the complicated stand diameter distribution.
Starting Page	762
Ending Page	765
File Size	311240
Page Count	4
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022173
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Biological system modeling Neurons Fitting Artificial neural networks Shelterbelts Predictive models Diameter Distribution Prediction Populus Mathematical model Artificial Neural Network (ANN)
Content Type	Text
Resource Type	Article

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