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A variance-based information diffusion coefficient optimization algorithm and its application in missile effectiveness evaluation

机译:基于方差的信息扩散系数优化算法及其在导弹效能评估中的应用

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摘要

In view of the problem that credibility of missile effectiveness evaluation model validation is not enough under the condition of incomplete samples, this paper introduces the information diffusion estimation theory, mainly studies the key issues-the optimization of diffusion coefficient in diffusion estimation, puts forward a variance-based algorithm to optimize information diffusion coefficient, theoretically derives the correctness of the algorithm, and proposes a method to evaluate the effectiveness of missile models on the strength of the algorithm. Experiments show that, the precision of information diffusion estimation adopting diffusion coefficient based on variance, is superior to the empirical equation algorithm. And the method evaluating the effectiveness of missile models could effectively implement the scientific verification and selection of the models.
机译:针对在样本不完全的情况下导弹效能评估模型验证的可信度不够的问题,本文介绍了信息扩散估计理论,主要研究了关键问题-扩散估计中扩散系数的优化,提出了一种方法。基于方差的信息扩散系数优化算法,从理论上推导了算法的正确性,并提出了一种基于算法强度评估导弹模型有效性的方法。实验表明,采用基于方差的扩散系数的信息扩散估计精度优于经验方程算法。评估导弹模型有效性的方法可以有效地进行模型的科学验证和选择。

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