USE OF NEURO-FUZZY APPROACH IN PREDICTING OF SERVER MEMORY MODULE MALFUNCTION

Authors

  • М. С. Солодовник Odessa national аcademy of food technologies, Ukraine
  • А. М. Асланов Odessa national аcademy of food technologies, Ukraine

DOI:

https://doi.org/10.15673/0453-8307.4/2013.57360

Keywords:

computer network, forecast, reliability, correlation analysis, neuro-fuzzy system

Abstract

The paper presents the analysis of computer system malfunction mathematical forecasting methods. Based on the comparative analysis of correlation methods, mathematical statistics and neuro-fuzzy inference, the benefits of intellectual approach were proven.

References

Леоненко А. В. Нечетком моделирование в среде MATLAB и FuzzyTECH, Санкт-Петербург, «BHV-Peterburg», 2005 г. – 736 с. 2. Воронин А. А. Надежность информационных систем, Санкт-Петербург, «SPbGTU», 2001 г. 3. Бжлуха М. Т. Основы научных исследований;. – К.: Вища школа., 1997 г. — 271 с. 4. http://habrahabr.ru/ – internet-sait. Statistika otkazov v servernoi pam’ati. 5. Tanenbaum A., Wetherall D., Computer Networks, 5th edition. – «Prentice Hall», 962 p.

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Published

2015-12-28

Issue

Vol. 49 No. 4 (2013)

Section

Automatic, computer and telecommunication technologies