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View all- Kablaoui RAhmad IAbed SAwad M(2024)Network traffic prediction by learning time series as imagesEngineering Science and Technology, an International Journal10.1016/j.jestch.2024.10175455(101754)Online publication date: Jul-2024
Prediction of a network traffic using Dynamic_Bilinear Recurrent Neural Network (D-BLRNN) is proposed and presented in this paper. D-BLRNN was developed to enhance the prediction capability of the BLRNN further by introducing dynamic learning control ...
The BiLinear Recurrent Neural Network (BLRNN) based on the bilinear polynomial has been successfully applied to several nonlinear time series prediction problems. In order to obtain faster convergence in training the BLRNN, two procedures are applied to ...
A prediction scheme of sunspot series using a BiLinear Recurrent Neural Network (BLRNN) is proposed in this paper. Since the BLRNN is based on the bilinear polynomial, it has been successfully used in modeling highly nonlinear systems with time-series ...
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