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Performance Evaluation of Naval Minesweeping and Estimation of the Number of Remaining Mines based on Bayesian Estimation Theory

机译:基于贝叶斯估计理论的剩余地雷次数绩效评估与估算剩余地雷数量

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It is very difficult to get exact accurate estimated value When the Markov process theory is used to calculate the number of remaining mines, because the prior knowledge has not been fully utilized. For solving the above problems, this paper establishes posterior distribution model of Estimation of the number of remaining mines, based on Bayesian estimation theory. Then several typical distributions are discussed, such as the binomial distribution, Poisson distribution, negative binomial distribution and uniform distribution, and the mean and variance of the number of remaining mines are given. Finally the simulation calculation is carried out for the given minefield prior data, the results show that the model accuracy is related to mine number, mine sweeping probability and other factors.
机译:当Markov过程理论用于计算剩余地雷的数量时,很难获得精确的准确估计值,因为先前的知识尚未充分利用。为了解决上述问题,本文建立了基于贝叶斯估计理论的剩余地雷数量估算的后分布模型。然后讨论了几种典型的分布,例如二项分分布,泊松分布,负二进制分布和均匀分布,并且给出了剩余矿山的数量的平均值和方差。最后,对给定的Minefield之前的数据进行了模拟计算,结果表明,模型精度与矿井数量有关,矿山扫描概率和其他因素有关。

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