Abstract: On the basis of reliability analysis mathematical model, combined with the operating data from an experimental facility and improved thermal-hydraulic codes, the uncertainty of input parameters is identified. Compared with the accuracy and the goodness of different Neural Network Response Surface methods, the one optimized with PSO is analyzed by classification accuracy. The results show that PSO response surface has relatively better fitting performance and can evaluate the reliability of the passive system accurately.