论文标题
在SIRC模型应用中的跨透明方法
Cross-entropy method in application to SIRC model
论文作者
论文摘要
该研究考虑了一种称为跨渗透（CE）的概率优化方法的用法。这是Reuven Rubinstein（1997）创建的Monte Carlo方法的版本。它是在确定罕见事件的背景下开发的。在这里，我们将介绍CE方法可用于优化流行病学模型的问题，更具体地说是基于在模型中特定组的护理的功能的功能，更具体地说是SIRC（易感 - 传染性 - 传染性 - 传染性 - 恢复 - 跨免疫）模型。在加权采样的帮助下，尝试找到最快，最准确的算法版本。
The study considers the usage of a probabilistic optimization method called Cross-Entropy (CE). This is the version of the Monte Carlo method created by Reuven Rubinstein (1997). It was developed in the context of determining rare events. Here we will present the way in which the CE method can be used for problems of optimization of epidemiological models, and more specifically the optimization of the SIRC (Susceptible - Infectious - Recovered - Cross-immune) model based on the functions supervising the care of specific groups in the model. With the help of weighted sampling, an attempt was made to find the fastest and most accurate version of the algorithm.
