An Improved LS-SVR Ensemble Learning in Internet Traffic Prediction
2011 ◽
Vol 121-126
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pp. 3794-3798
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Keyword(s):
In this paper, we present a new method for internet traffic forecasting based on a boosting LS-SVR algorithm. AdaBoost has been proved to be an effective method for improving the performance of weak learning algorithms and widely applied to classification problems. Inspired by it, we use LS-SVR to complete the initial training; and pay more attention on the “high error areas” in the time series; then, we use an ensemble learning algorithm to learn these areas.
2019 ◽
Vol 2019
(1)
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2021 ◽
Keyword(s):
2013 ◽
Vol 22
(04)
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pp. 1350025
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2019 ◽
Vol 23
(1)
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pp. 395-406
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Keyword(s):
2018 ◽
Vol 48
(11)
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pp. 4128-4148
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