【Objective】In order to realize the reasonable management of Pinus bungeana natural secondary forests in Shaanxi Province,the growth model which accords with the growth law of P. bungeana was established to provide bases for management decisions and achieve a reasonable management of oak natural secondary forests of P. bungeana with the older tree age.【Method】This study was conducted in a natural secondary forest of P. bungeana in the Huanglong Mountain forest region, Shaanxi Province. Standard trees were chosen for a trunk analysis, and diameter at breast height (DBH), tree height, and volume growth models were established based on data from the analysis of tree trunks with artificial neural network(ANN)and three common models. Growth curves were drawn to study the growth law of natural secondary forests of P. bungeana. 【Result】The DBH ANN growth model, tree height ANN growth model, and volume ANN growth model were better than the three commonly used models. The ANN model showed a good application and promotion ability in fitting the growth process of P. bungeana, which grows slowly. The rapid DBH, tree height and volume growth periods were 30-60, 20-30 and 110-130 a, respectively. The maximum current annual increment for DBH, tree height and volume was 120, 90 and 130 a, respectively. P. bungeana has not reached the age of quantitative maturity in 135 a. 【Conclusion】The ANN models could lay the foundation for ancient tree research in the Huanglong Mountain forest region. The growth law research can provide a reference and support for the management of different stages of P. bungeana forest.