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- W2181729998 abstract "In this Paper, the WiMAX Traffic Forecasting on Day basis is done. The traffic time series is decomposed with Stationary Wavelet Transform (SWT). Further these coefficients will be trained and predicted with the Trainable Cascade-Forward Backpropagation Neural Networks. The quality of forecasting obtained is shown in terms of the four parameters." @default.
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- W2181729998 date "2014-01-01" @default.
- W2181729998 modified "2023-09-26" @default.
- W2181729998 title "WiMAX Traffic Forecasting on Daily basis with Trainable Cascade-Forward Backpropagation Network in Wavelet Domain" @default.
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