Identifying anchor links on social networks plays an important role in cross-network information dissemination, cross-platform recommendation, prediction of social chain, and so on. To improve the accuracy of anchor links identification, this paper proposes an effective method:the IAUE model. Firstly, the model uses network embedding algorithms to draw the network representation based on network structure. Then, a candidate set of matching nodes is gotten by BP neural network, stochastic gradient descent and negative sampling strategies. To refine the result of anchor links match, the G-S algorithm is used to reduce the useless information. Experiments upon multiple data sets show that the IAUE method has better performance and good generalization ability compared with other approaches. This research to some extent also can accurately identify the anchor links in the social network.