Performance Comparison of Four New ARIMA-ANN Prediction Models on Internet Traffic Data

Performance Comparison of Four New ARIMA-ANN Prediction Models on Internet Traffic Data

Prediction of Internet traffic time series data (TSD) is a challenging research problem, owing to the complicated nature of TSD. In literature, many hybrids of auto-regressive integrated moving average (ARIMA) and artificial neural networks (ANN) models are devised for the TSD prediction. These hyb...

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Hlavní autoři: C. Narendra Babu, B. Eswara Reddy
Médium: Článek
Jazyk:English
Vydáno: National Institute of Telecommunications 2015-03-01
Edice:Journal of Telecommunications and Information Technology
Témata:
ANN
ANN training
ARIMA
Box-Jenkins methodology
hybrid ARIMA-ANN model
Internet traffic forecasting
On-line přístup:https://jtit.pl/jtit/article/view/780

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