Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53579#.VMnd0CzQrzE Author(s) Ismail Bin Abdullah , Daw Abdulsalam Ali Daw , Kamaruzzaman Bin Seman Affiliation(s) Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Bandar Baru Nilai, Malaysia . ABSTRACT Network traffic prediction plays a fundamental role in characterizing the network performance and it is of signi?cant interests in many network applications, such as admission control or network management. Therefore, The main idea behind this work, is the development of a WIMAX Traffic Forecasting System for predicting traffic time series based on the daily and monthly traffic data recorded (TRD) with association of feed forward multi-layer perceptron (FFMLP). The quality of forecasting WIMAX Traffic obtained by comparing different configurations of the FFMLP that consist of investigating different FFMLP model architectures and ...
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