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01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 7 > No. 5


A Recurrent Neural Network–based Forecasting System for Telecommunications Call Volume

PP: 1643-1650
Paris Mastorocostas, Constantinos Hilas, Dimitris Varsamis, Stergiani Dova,
A recurrent neural network–based forecasting system for telecommunications call volume is proposed in this work. In particular, the forecaster is a Block–Diagonal Recurrent Neural Network with internal feedback. Model’s performance is evaluated by use of real–world telecommunications data, where an extensive comparative analysis with a series of existing forecasters is conducted, including both traditional models as well as neural and fuzzy approaches.

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