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In the communication systems, Adaptive Neuro-Fuzzy Interface Systems (ANFIS) are used for the detection of unauthorized user access and forecasting product demand for 3G and 4G mobile phones. The Paper proposes ANFIS for identification of quantity of servers in a teletraffic system. Combinations of teletraffic performance parameters are defined for synthesis of the structure of the neuro-fuzzy classifier...
In this paper various types of classifiers for quantitatively identify teletraffic service devices are proposed. The classification method “K — Nearest Neighbors With Defined Cityblock Metric Distance At Three Nearest Neighbors” is selected. A classifier structure is synthesized based on Adaptive Neuro-Fuzzy Interface Systems (ANFIS) in hybrid learning algorithm and Gaussian type membership function...
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