Πλοήγηση ανά Συγγραφέα "Dova, S. C."
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Τεκμήριο A telecommunications call volume forecasting system based on a recurrent fuzzy neural network(2013) Mastorocostas, P. A.; Hilas, C. S.; Varsamis, D. N.; Dova, S. C.The problem of telecommunications call volume forecasting is addressed to in this work. In particular, a foreacasting system is proposed, that is based on a dynamic fuzzy-neural model, where the consequent parts of the fuzzy rules are small Block-Diagonal Recurrent Neural Networks with internal feedback. The forecasting characteristics are highlighted and the prediction performance is evaluated by use of real-world telecommunications data. An extensive comparative analysis with a series of existing forecasters is conducting, including both traditional models as well as fuzzy and neurofuzzy approaches.Τεκμήριο A TSK-based fuzzy system for telecommunications time-series forecasting(2012) Mastorocostas, P. A.; Hilas, C. S.; Dova, S. C.; Varsamis, D. N.A two-stage model-building process for generating a Takagi-Sugeno-Kang fuzzy forecasting system is proposed in this paper. Particularly, the Subtractive Clustering (SC) method is first employed to partition the input space and determine the number of fuzzy rules and the premise parameters. In the sequel, an Orthogonal Least Squares (OLS) estimator determines the input terms which should be included in the consequent part of each fuzzy rule and calculate their parameters. A comparative analysis with well-established forecasting models is conducted on real world tele-communications data, in order to investigate the forecasting capabilities of the proposed scheme.