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Author/Affiliation: Muhammad Ahsan LatifOpen AccessArticle
7 Pages, 931 KB 
Analysis of Wireless Traffic Data through Machine Learning
Abstract:
The paper presents an analytical study on a wireless traffic dataset carried out under the different approaches of machine learning including the backpropagation feedforward neural network, the time-series NARX network, the self-organizing map and the principal component analyses. These approaches are well-known for their usefulness in the modeling and in transforming a high dimensional data…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Telecommunications (TEL))