A Recurrent Neural Network–based Forecasting System for Telecommunications Call Volume
| dc.contributor.author | Mastorocostas, Paris | |
| dc.contributor.author | Hilas, Constantinos | |
| dc.contributor.author | Varsamis, Dimitris | |
| dc.contributor.author | Dova, Stergiani | |
| dc.date.accessioned | 2015-06-18T11:41:19Z | |
| dc.date.accessioned | 2024-09-27T18:12:00Z | |
| dc.date.available | 2015-06-18T11:41:19Z | |
| dc.date.available | 2024-09-27T18:12:00Z | |
| dc.date.issued | 2013-09-01 | |
| dc.description.abstract | 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. | en |
| dc.format.extent | 8 | el |
| dc.identifier.other | http://m.naturalspublishing.com/files/published/t6026n6s3lsj98.pdf | el |
| dc.identifier.uri | https://repository2024.ihu.gr/handle/123456789/1358 | |
| dc.language.iso | en | el |
| dc.publication.category | Δημοσίευση ανοιχτής πρόσβασης | el |
| dc.relation.journal | Applied Mathematics & Information Sciences;Vol. 7, Iss. 5 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject.keyword | Telecommunications data volume forecasting | el |
| dc.subject.keyword | Neural modelling | el |
| dc.subject.keyword | Block–diagonal recurrent neural network | el |
| dc.title | A Recurrent Neural Network–based Forecasting System for Telecommunications Call Volume | en |
| dc.type | Άρθρο σε επιστημονικό περιοδικό | el |
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