In order to improve the forecasting accuracy and generalization ability, a target maneuver trajectory forecasting approach based on ensemble learning theory and KELM (kernel extreme learning machine) optimized by the modified bat-inspired algorithm was proposed. A KELM model optimized by improved bat-inspired algorithm was constructed. Combined with the ensemble learning theory, the improved KELM neural network was regarded as weak predictor to generate strong predictor, the structure and parameters of the strong predictor were continuously optimized through training, and a target maneuver trajectory prediction model based on the ensemble learning theory was obtained. Based on samples of different sizes, the prediction performance of the model proposed in this paper was compared with BP (back propagation) neural network, support vector machine and extreme learning machine. The simulation results show that the generalization ability and prediction accuracy of the prediction model proposed is good.