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Title: Application of self-organizing map to intelligent analysis of cellular networks
Authors: Joseph M. Mom, Cosmas I. Ani
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2013
Volume: 8
Issue: 6
Language: English
In this work, the efficacy and scalability of the self-organizing map (SOM) algorithm, which is a class of artificial neural network (ANN), over traditional methods of analyzing cellular network variables was shown using key performance indicators (KPIs) data collected from an operational network service provider in Nigeria. Performance trends of various cells over a period of time were evaluated and rules of significance measure extracted which could form the basis for network optimization.
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