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文章提出“最后所有可能步进的RRA算法(Final All Possible Step RRA,FAPS RRA)”.该算法改变了RRA算法的数据收集方式,目的是在不失算法精度的前提下,减少模型的运行次数,有效地提高算法的运行速度.仿真实验结果表明:在相同精度的要求下,FAPS RRA算法比RRA算法的模拟运行速率有显著提高.
The article proposes “Final All Possible Step RRA (FAFRA)”, which changes the data collection method of RRA algorithm and aims to reduce the complexity of the model And the running times of the algorithm can effectively improve the running speed of the algorithm.The simulation results show that the FAPS RRA algorithm has a significantly higher simulation running rate than the RRA algorithm under the same precision requirements.