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Neural networks in B-ISDN flow control: ATM traffic prediction or network modeling?

Abstract

The authors discuss a technique that offers the combination of shared bandwidth and rejection rate parameters, together with the quality of service predicted by neural networks in a novel strategy for connection admission control and call routing

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