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Algorithm of Fuzzy Logical Inference for Multimedia Network Functioning

Field of Science:Artificial IntelligenceComputational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and CommunicationsComputer Science (miscellaneous)Information SystemsSignal ProcessingSoftware
National field of science (HAC):05.01.01 — Engineering geometry and computer graphics. Audio and video technologies05.01.02 — Systems analysis, control and information processing05.01.03 — Theoretical foundations of informatics05.01.04 — Mathematical and software support of computers, complexes and computer networks05.01.05 — Information protection methods and systems. Information security05.02.03 — Technological machines. Robots, mechatronics and robotic systems05.01.08 — Automation and control of technological processes and productions05.01.09 — Document studies. Archival science. Library science05.01.10 — Information retrieval systems and processes05.01.11 — Digital technologies and artificial intelligence05.04.01 — Telecommunication and computer systems, telecommunication networks and devices. Information distribution05.04.02 — Radio engineering, radionavigation, radiolocation and television systems and devices. Mobile and fiber-optic communication systems08.00.14 — Information systems and technologies in economics08.00.16 — Digital economy and international digital integration11.00.07 — Geoinformatics21.01.09 — Military command and communication systems21.02.12 — Military cybernetics, systems analysis, operations research, modeling of combat operations and military systems (including Armed Forces branches, arms of service and special units)05.01.06 — Elements and devices of computer engineering and control systems05.01.07 — Mathematical modeling. Numerical methods and software packages10.00.11 — Language theory. Applied and computational linguistics13.00.06 — Theory and methods of e-learning (by education fields and levels)21.02.13 — Informatics and computer technologies in military affairs
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Scientific electronic journal "Digital Economy"

Scientific electronic journal "Digital Economy"

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ARTICLE ANNOTATION

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This article proposes a hybrid model based on an artificial neural network and fuzzy logic for evaluating the performance of a multimedia network (MN) and forecasting the intensity of request arrivals in real-time traffic flows. In the proposed model, the request arrival intensity is determined in relation to the intensity of confirmed requests over the four previous time intervals. During data processing, performance indicators are classified within a factor space, and a generalized performance indicator is formed. The neuro-fuzzy modeling approach makes it possible to assess the efficiency of multimedia network operation under dynamic and uncertain conditions. The proposed algorithm is aimed at optimizing the decision-making process and ensuring stable network load management.

AUTHORS

B.Fayzullayeva

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

Tags

# efficiency# forecasting# multimedia network# neural network# fuzzy logic# generalized indicator# decision-making algorithm

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Article Identifiers

ROI:

https://eroi.uz/11.142/A026-180267

DOI:

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References

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