Abstract:

Taking natural oak (Quercus acutissima Carr.) from Boshan forest farm as research subject, a growth model of natural oak was created with artificial neural network modeling technology, which has an important application for improving informatization management of the forest resources. With the data of 20 oak analytic trees as training samples, the built model was trained and analyzed. The results showed that: The best network structure was 1:2:3 and the total fitting accuracy of the model was 98.37%; Concretely, the age gradation accuracy was 93.18% to 99.29% and the mean value was 96.52 %; The mean accuracy of breast height diameter, height and volume was 97.17%, 99.30%, 92.30% respectively. In a word, the built model would satisfy the accuracy requirement for investigating and forecasting the forest resources in forestry, and it was a single-input and multiple-output neural network model, the network structure of which was simple and intuitive, mathematical expression of which was short-cut, and it would be easy to use.