{"title":"Situational Awareness Formation For Large Network-Systems","authors":"V. Abrosimov","doi":"10.25728/ASSA.2018.18.3.654","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"29-38"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2018.18.3.654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.
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