The method combing the Restricted Boltzmann Machine(RBM) with the Back Propagation (BP) neural network is employed to assess the established equipment support evaluation system. This method makes full use of the ability of automatically extracting the inherent characteristics of the data for RBM, and the learning ability of BP neural network. Using Matlab to validate the effectiveness of themethod, the simulation results show that the proposed method can realize high precision assessment of the value with a good recognition rate for the public data sets.