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林业研究(英文版). 2019, (05)

Stand basal area modelling for Chinese fir plantations using an artificial neural network modelEnglish Full Text

Shaohui Che;Xiaohong Tan;Congwei Xiang;Jianjun Sun;Xiaoyan Hu;Xiongqing Zhang;Aiguo Duan;Jianguo Zhang;Key Laboratory of Tree Breeding and Cultivation of the State Forestry Administration, Research Institute of Forestry,Chinese Academy of Forestry;Beijing Institute of Economics and Management;Subtropical Forestry Experimental Central, Chinese Academy of Forestry;

Abstract: Artificial neural network models are a popular estimation tool for fitting nonlinear relationships because they require no assumptions about the form of the fitting function, non-Gaussian distributions, multicollinearity,outliers and noise in the data. The problems of backpropagation models using artificial neural networks include determination of the structure of the network and overlearning courses. According to data from 1981 to 2008 from 15 permanent sample plots on Dagangshan Mountain in Ji... More
Keywords：

Chinese fir; Basal area; Artificial neural network; Support vector machine; Mixed-effect model;

  • Series：

    (D) Agriculture

  • Subject：

    Forestry

  • Classification Code：

    S791.27

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