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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Bibliographic Details
Main Authors: C. Narendra Babu, B. Eswara Reddy
Format: Article
Language:English
Published: National Institute of Telecommunications 2015-03-01
Series:Journal of Telecommunications and Information Technology
Subjects:
ANN
ANN training
ARIMA
Box-Jenkins methodology
hybrid ARIMA-ANN model
Internet traffic forecasting
Online Access:https://jtit.pl/jtit/article/view/780

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https://jtit.pl/jtit/article/view/780

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