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  5. Neuro fuzzy model of mean real time traffic request arrival intensity prediction in a telecommunication network channel

Neuro fuzzy model of mean real time traffic request arrival intensity prediction in a telecommunication network channel

K.A. Polschykov, K.N. Kubrakova, V.A. Krasnobaev
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This paper deals with telecommunication network parameters prediction model which allows qualitative real time traffic transmission and is based on neuro fuzzy network usage functioning according to Sugeno algorithm of the first order.
Keywords: neuro fuzzy network, Sugeno algorithm, real time traffic
Reference:
Polshchykov, K.A., Kubrakova, E.N. and Krasnobaev, V.A. (2014), "Model neiro-nechetkoho prohnozyrovanyia srednei yntensyvnosty postuplenyia zaprosov na peredachu potokov realnoho vremeny po kanalu telekommunykatsyonnoi sety" [Neuro fuzzy model of mean real time traffic request arrival intensity prediction in a telecommunication network channel], Information Processing Systems, Vol. 2(118), pp. 193-197.