Abstract: In view of problems of extensive classification, subjective evaluation standard and large calculation existed in materials and equipments management of coal enterprises, a classification method based on probabilistic neural network was proposed. The method takes quantitative sample data of three evaluated indices of degree of supply and demand, degree of value and supply efficiency as input and uses probabilistic neural network to establish material classification model. It uses Matlab to simulate classification results and realizes scientific classification according to importance degree of coal materials and equipments. The actual test results show that the method is scientific and accurate.