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- W2382893245 abstract "This paper studied traffic matrix estimation in the large-scale IP networks. By using generalized regression neural network to capture the characteristics of traffic matrix and describing the traffic matrix estimation into an optimal process under the Mahalanobis distance,the ill-posed nature of this problem could successfully be overcome and the accurate estimation could be obtained. Simulation results show that the estimation algorithm proposed holds the higher estimation accuracy and evident performance improvement." @default.
- W2382893245 created "2016-06-24" @default.
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- W2382893245 date "2009-01-01" @default.
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- W2382893245 title "Generalized regression neural network-based traffic matrix estimation" @default.
- W2382893245 hasPublicationYear "2009" @default.
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