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What is LSTM-Based Network Traffic Prediction about?

This paper presents a network traffic prediction method using the Long Short-Term Memory (LSTM) model, which combines traffic interval deviation and network traffic predictions to enhance bandwidth adjustment strategies. The study evaluates the LSTM model against traditional models like AR, MA, and ARIMA, demonstrating superior accuracy and reliability in predicting traffic intervals. The findings suggest that LSTM can significantly improve network operation and maintenance, although challenges such as nois

Author

cynthiamaharanii12

Language

EN