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
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;
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
