Study of the Stand Diameter Distribution Model of Eucalyptus Plantation Based on Artificial Neural Network

摘要：

The paper firstly applied artificial neural network in studying the stand diameter distribution model of Eucalyptus plantation. By using relative diameter as input variable, cumulative percentage in number of trees as output variable, logsig as the transfer function of hidden layer and output layer, the paper constructed 1:2:1 Eucalyptus plantation stand relative diameter cumulative percentage in number of trees BP neural network. The average forecasting precision value of relative diameter cumulative percentage BP neural network was 0.8848. The result indicated that the model effect was better and had a better adaptability for the distribution of Yongan Eucalyptus plantation stand relative diameter cumulative percentage in number of trees.

关键词： BP neural network stand diameter distribution hidden layer neuron

作者: En-ying Guo Ping-liu Chen De-xiang Zheng Bao-guo Wu Ping-teng Chen

作者单位: College of Information Science and Technology Beijing Forestry University Beijing, China College of Forestry Fuji an Agriculture and Forestry University Fuzhou, China Corresponding Author College of Forestry Fujian Agriculture and Forestry University Fuzhou, China College of Forestry Beijing Forestry University Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 498-502

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）