Study of the stand diameter distribution model of Eucalyptus plantation based on artificial neural network

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.