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Fast simulation of rare events in stochastic Petri nets

机译:随机培养网中罕见事件的快速模拟

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摘要

It is shown how variance reduction techniques can be used simulating rare events in stochastic Petri nets. The application of fast simulation methods is illustrated for several classes of stochastic Petri nets: GSPNs, deterministic and stochastic Petri nets, and Petri nets with generally distributed firing times are studied. For the latter case, different state change policies such as resampling and age memory are distinguished. Some experiments show the usefulness of this approach.
机译:示出了如何在随机培养网中模拟罕见事件的方差减少技术。为几类随机培养网说明了快速仿真方法的应用:研究了GSPNS,确定性和随机培养网,以及具有一般分布式烧制时间的Petri网。对于后一种情况,区分诸如重采样和年龄内存等不同的状态变更策略。一些实验表明了这种方法的有用性。

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