Abstract: Artificial neural network theory and ordination are relatively new branches of mathematics that have recently been introduced to plant ecology. This work applied these two methods to study the subalpine high and cold meadows in the Wutai Mountains. SOFM clustering classified 78 quadrats into 8 community types, basically representing the associations of the high and cold meadows in the Wutai Mountains. This classification is meaningful in ecology. The SOFM ordination clearly reflected ecological gradients, indicating that altitude is the most important factor affecting the growth and distribution of meadow vegetation, while slope and aspect also have certain roles. SOFM clustering and ordination methods performed well in this application, and this study showed that the combination of these two methods is good for ecological analysis. The conservation of meadows in Wutai Mountains needs to be strengthened further.