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dc.creatorMihajlović, Ivan
dc.creatorŽivković, Živan
dc.date.accessioned2023-03-11T11:23:36Z
dc.date.available2023-03-11T11:23:36Z
dc.date.issued2014
dc.identifier.isbn978-615-5460-28-9
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/5760
dc.description.abstractThis paper is dealing with review of different modeling approaches, available in contemporary literature, and analyses of their applicability on real technological processes. During the theoretical discussion the scope of potential options of techniques available for complex systems modeling are presented. Both analytical and statistical modeling approaches are described. The most important part of the paper is dealing with development of the algorithm for selection of appropriate numerical modeling approach – ASANMA, based on the structure of the system and the scope of input variables of the investigated process. Presented assumptions are based on real-life examples of the numerical models of the real systems. Developed algorithm can be used by decision makers for selection of the appropriate numerical modeling approach, in the practice.sr
dc.language.isoensr
dc.publisherObuda University, Keleti Faculty of Business and Management, Hungarysr
dc.rightsopenAccesssr
dc.sourceProceedings of FIKUSZ ’14 Symposium for Young Researchers, Budapest, Hungarysr
dc.subjectOptimizationsr
dc.subjectkomplex systemssr
dc.subjectnumerical modelingsr
dc.titleDevelopment of the Algorithm for Selection of Appropriate Numerical Modeling Approachsr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.rights.holderObuda University, Keleti Faculty of Business and Management, Hungarysr
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/14241/17-Ivan-Mihajlovic-Zivan-Zivkovic.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_5760
dc.type.versionpublishedVersionsr


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Приказ основних података о документу