Simulations show an enhanced performance on both one step prediction error and maximum attempted time, which outperforms the linear prediction and some existing adaptive ones.
数值仿真表明，以之为基础的自适应预测算法在一步预测性能和长期预测能力方面都优于常用的线性预测方法和已有的自适应预测算法。
A multistage influence diagram game based on one-step prediction is put forward for modeling the maneuvering decisions of UCAV in air combat.
提出了一种基于单步预测的多级影响图法，并将该理论应用在单机连续空战机动决策系统建模中。
After one-step-ahead prediction, the predicted results of these signals are combined into the final predicted result of the original load series.
然后分别对各信号进行一步预测并组合预测结果，获得原始负载的最终预测。
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