Περίληψη:
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.