Finding Probability of Submarine-Launched Acoustic Homing Torpedoes Based on Gaussian Process Regression
The determination of the finding probability of submarine-launched acoustic homing torpedoes significantly affects tactical formulation.Conventional analytical and statistical algorithms fail to balance the speed and precision of probability assessment.In response to this issue,this paper introduced a model for assessing the finding probability based on Gaussian process regression.Additionally,a method was proposed for generating a training dataset based on the analytical model.Numerical simulations for assessing the finding probability were conducted within a specific battlefield scenario.The outcomes illustrate the superior assessment effect of the proposed method,offering theoretical support for decision-making in relevant battlefield contexts.
submarine-launched acoustic homing torpedofinding probabilityGaussian process regression
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