Research on predicting network traffic using neural networks
This paper used Back-propagation (BP) algorithms and Davidon least squares-based learning algorithm to train the neural network (NN) to predict the nonlinear self-similar network traffic respectively. The feasibility and advantage of these two algorithms were discussed by analyzing the Mean learning...
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Main Authors: | , , , , , , |
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2006
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/5638 |
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