DocumentCode
2054926
Title
Using probabilistic neural networks for diagnostics and prediction model of the router state
Author
Vysochyna, O. ; Salman, M.A.
Author_Institution
V. N. Karazin Kharkiv Nat. Univ., Kharkiv, Ukraine
fYear
2010
fDate
23-27 Feb. 2010
Firstpage
255
Lastpage
255
Abstract
In the present paper neural networks are applied to the investigation of router state. Particular attention is given to probabilistic neural networks. Experimental results obtained by means of simulation modeling are presented. A new method for the router state specifying is described.
Keywords
neural nets; telecommunication computing; telecommunication network routing; prediction model; probabilistic neural networks; router state diagnostic; simulation modeling; Databases; Education; Electronic mail; Indexes; Instruments; Management information systems; Neural networks; Neurons; Pattern recognition; Predictive models; Probabilistic Neural Network; Router;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location
Lviv-Slavske
Print_ISBN
978-966-553-875-2
Electronic_ISBN
978-966-553-901-8
Type
conf
Filename
5446069
Link To Document