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Abstract

An ATM traffic control apparatus and method for adaptively controlling ATM traffics. The ATM traffic control apparatus includes an output buffer for storing traffics generated by a plurality of traffic sources; traffic predictors of neural networks for generating predicted traffic values designating the number of cells which is expected to arrive during a future time slot, by adaptively learning the number of cells received during a setting time slot; a decision gate for deciding whether call congestion will happen by using predicted traffic values, an available buffer size of the output buffer and the number of cells to be transmitted during a setting time slot, and for generating the number of cells which can not be processed during a future time slot when it is decided that the congestion will happen; and a traffic controller of an expert system for calculating an optimal flow rate of each traffic source to control the congestion of the output buffer, by using service rates of the traffic sources, traffic types, peak bit rates, predicted traffic values, and the number of cells which can not be processed in the output buffer.

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First Claim