The article analyzes the corporate network quality assessment. In the work questions of an estimation of qualitative indicators of corporate information-computed networks on the basis of neural networks are given. The main indicators are: information delay and packet loss. To evaluate the quality of the network, the use of a fuzzy model is proposed. A modeling algorithm for assessing the quality of a corporate information network is developed. The reliability of the proposed approach was verified with the help of a simulation system implemented with MatLab.
The article analyzes the corporate network quality assessment. In the work questions of an estimation of qualitative indicators of corporate information-computed networks on the basis of neural networks are given. The main indicators are: information delay and packet loss. To evaluate the quality of the network, the use of a fuzzy model is proposed. A modeling algorithm for assessing the quality of a corporate information network is developed. The reliability of the proposed approach was verified with the help of a simulation system implemented with MatLab.
| № | Муаллифнинг исми | Лавозими | Ташкилот номи |
|---|---|---|---|
| 1 | Sapaev M.. | Tashkent University of Information Technologies named after Muhammad al-Khorazmiy | TUIT |
| 2 | Nigmatov Z.Z. | doctoral students, Tashkent State Technical University | TDTU |
| 3 | Atajonov M.O. | doctoral students, Tashkent State Technical University | TDTU |
| 4 | Bahrieva X.A. | Tashkent University of Information Technologies named after Muhammad al-Khorazmiy | TUIT |
| № | Ҳавола номи |
|---|---|
| 1 | 1. Pegat A. Fuzzy modeling and control. М.: laboratory knowledge, 2009.- 798p. 2. Yarushkina N.G. Foundations of theory and hybrid systems. M.: Finance and statistics, 2004.320p. 3. Zadeh L.A. Fuzzy sets // Inform. Contr. 1965. V.8. P. 338-353. |