In order to overcome the problem of the uncertain parameters in LSSVM model, the PSO-LSSVM prediction model concerning earthquake forecast is developed, which is based on the particle swarm optimization algorithm with abilities of fast convergence and global optimization. The simulation results show that the proposed method is an effective tool for the prediction of earthquake, and it can effectively enhance the prediction accuracy compared with the way using neural network and support vector machine model.