2006
DOI: 10.1016/j.comcom.2006.04.007
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Dynamic Application Profiles using Neural Networks for adaptive quality of service support in the Internet

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Cited by 2 publications
(1 citation statement)
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“…In paper [9] is presented decentralized neuro-adaptive congestion control scheme comprising an on-line desired round-trip estimator and adaptive transmission rate controller. The paper [29] reports estimation of the traffic features such as peak rate, token bucket rate and token bucket size, produced by network applications. Three neural network types of estimators were tested: the feed-forward NN with backpropagation, the feed-forward NN with temporal learning and ANFIS.…”
Section: Related Workmentioning
confidence: 99%
“…In paper [9] is presented decentralized neuro-adaptive congestion control scheme comprising an on-line desired round-trip estimator and adaptive transmission rate controller. The paper [29] reports estimation of the traffic features such as peak rate, token bucket rate and token bucket size, produced by network applications. Three neural network types of estimators were tested: the feed-forward NN with backpropagation, the feed-forward NN with temporal learning and ANFIS.…”
Section: Related Workmentioning
confidence: 99%