NB-DEVS:对不完美系统进行建模和仿真的混合方法

Kadda Mostefaoui, Y. Dahmani
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引用次数: 2

摘要

本文介绍了用于离散事件系统(DES)建模和仿真的NB-DEVS方法,我们的目标是提出一种新的形式化方法来描述涉及不完美的复杂系统。在我们的研究中,我们建议将朴素贝叶斯网络(NB)集成到DEVS形式主义中。我们所拥有的这两种形式的关联允许将经典DEVS形式主义扩展到新的领域。这种新方法允许在系统行为不确定时对其进行研究。最后,我们使用NB-DEVS方法模拟了生产系统的演变。在模拟中,我们使用了几个不同的模型来复制经验数据。从这些模拟迭代中,我们能够验证和确认我们的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NB-DEVS: a hybrid approach for modelling and simulation of imperfect systems
This article presents the NB-DEVS approach for the modelling and simulation of discrete event systems (DES), our objectives are to propose a new formal approach for describing the complex systems involving imperfectly. In our research we propose to integrate the naive Bayesian network (NB) into DEVS formalism. The association of these two formalisms we have allow to extend the classic DEVS formalism to new domains. This new approach permits to study the system when its behaviour is uncertain. Finally, we simulated the evolution of the production system using our NB-DEVS approach. In simulation, we used several different models to replicate the empirical data. From these simulation iterations, we were able to verify and validate our model.
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