基于知识的复杂互联系统建模

2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI:10.1109/BdKCSE48644.2019.9010612

B. Vatchova, David Sanders, M. Adda, A. Gegov

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引用次数: 0

摘要

本文讨论了智能控制在复杂互连过程建模中的应用。后者通常有许多投入和产出，可以在各种应用领域找到。虽然部分输入是可测量的，但由于随机环境因素的存在，其他输入则不可测量。因此，这种过程是在不确定的情况下进行的。后者在本文中是由使用概率和模糊网络结构的智能系统来解决的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Knowledge Based Modelling of Complex Interconnected Systems

The present paper discusses the use of intelligent control for modelling complex interconnected processes. The latter usually have many inputs and outputs and can be found in various areas of application. While part of the inputs are measurable, others are not due to the presence of stochastic environmental factors. For this reason such kind of processes operate under uncertainty. The latter is addressed in this paper by intelligent systems that use probabilistic and fuzzy network structures.

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来源期刊

2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)

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