Round Trip Time Prediction Using the Symbolic Function Network Approach

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dc.creatorEskander, George S.
dc.creatorAtiya, Amir
dc.creatorChong, Kil To
dc.creatorKim, Hyongsuk
dc.creatorYoo, Sung Goo
dc.date2008-06-23
dc.date2008-08-09
dc.date.accessioned2026-07-07T09:55:36Z
dc.date.available2026-07-07T09:55:36Z
dc.descriptionIn this paper, we develop a novel approach to model the Internet round trip time using a recently proposed symbolic type neural network model called symbolic function network. The developed predictor is shown to have good generalization performance and simple representation compared to the multilayer perceptron based predictors.
dc.identifierhttps://arxiv.org/abs/0806.3646
dc.identifierhttp://arxiv.org/abs/0806.3646
dc.identifierISITC, pp. 3-7, 2007 International Symposium on Information Technology Convergence (ISITC 2007), 2007
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/166683
dc.subjectNeural and Evolutionary Computing
dc.subjectSymbolic Computation
dc.titleRound Trip Time Prediction Using the Symbolic Function Network Approach
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