大型网络系统的态势感知形成

Q3 Engineering

Advances in Systems Science and Applications Pub Date : 2018-10-31 DOI:10.25728/ASSA.2018.18.3.654

V. Abrosimov

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引用次数: 0

摘要

考虑了一种将态势感知形成作为大型网络中心系统运行的必要条件的方法。其基础是根据“初始数据参数事件情况解决方案”从所有系统元素获取信息。情境感知模型被构造为一个具有集成组织和联想投影结构的神经网络。该模型是通过使用先例来学习的。

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Situational Awareness Formation For Large Network-Systems

An approach to situational awareness formation as a necessary condition for the operation of large network-centric systems is considered. The basis is information acquisition from all system elements according to the “initial data-parameter-event-situation-solution” scheme. The situational awareness model is constructed as a neural network with an ensemble organization and associative-projective structure. The model is learned using precedent examples.

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来源期刊

Advances in Systems Science and Applications Engineering-Engineering (all)

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.