Приказ основних података о документу
Development of the Algorithm for Selection of Appropriate Numerical Modeling Approach
dc.creator | Mihajlović, Ivan | |
dc.creator | Živković, Živan | |
dc.date.accessioned | 2023-03-11T11:23:36Z | |
dc.date.available | 2023-03-11T11:23:36Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 978-615-5460-28-9 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/5760 | |
dc.description.abstract | This 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.iso | en | sr |
dc.publisher | Obuda University, Keleti Faculty of Business and Management, Hungary | sr |
dc.rights | openAccess | sr |
dc.source | Proceedings of FIKUSZ ’14 Symposium for Young Researchers, Budapest, Hungary | sr |
dc.subject | Optimization | sr |
dc.subject | komplex systems | sr |
dc.subject | numerical modeling | sr |
dc.title | Development of the Algorithm for Selection of Appropriate Numerical Modeling Approach | sr |
dc.type | conferenceObject | sr |
dc.rights.license | ARR | sr |
dc.rights.holder | Obuda University, Keleti Faculty of Business and Management, Hungary | sr |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/14241/17-Ivan-Mihajlovic-Zivan-Zivkovic.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_5760 | |
dc.type.version | publishedVersion | sr |