Telecommunications data forecasting based on a dynamic neuro-fuzzy network
| dc.conference.information | Guilin, China, May 29–June 1, 2011 | el |
| dc.conference.name | 8th International Symposium on Neural Networks, ISNN 2011 | el |
| dc.contributor.author | Mastorocostas, Paris A. | |
| dc.contributor.author | Hilas, Constantinos S. | |
| dc.date.accessioned | 2015-07-06T15:29:12Z | |
| dc.date.accessioned | 2024-09-27T18:12:16Z | |
| dc.date.available | 2015-07-06T15:29:12Z | |
| dc.date.available | 2024-09-27T18:12:16Z | |
| dc.date.issued | 2011-05 | |
| dc.description.abstract | In this work a dynamic neuro-fuzzy network (DyNF-Net) is proposed, which is applied on the outgoing telephone traffic of a large organization. It is a modified Takagi-Sugeno-Kang fuzzy neural network, where the consequent parts of the fuzzy rules are neural networks with internal recurrence, thus introducing dynamics to the overall system. Real world telecommunications data are used in order to compare the DyNF-Net to well-established forecasting models. The comparison highlights the particular characteristics of the proposed neuro-fuzzy network. | en |
| dc.format.extent | 9 | el |
| dc.identifier.doi | 10.1007/978-3-642-21105-8_61 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.other | http://link.springer.com/chapter/10.1007/978-3-642-21105-8_61 | el |
| dc.identifier.uri | https://repository2024.ihu.gr/handle/123456789/1624 | |
| dc.language.iso | en | el |
| dc.publication.category | Απαγόρευση δημοσίευσης - Βιβλιογραφική αναφορά | el |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject.keyword | Dynamic neuro-fuzzy network | el |
| dc.subject.keyword | Telecommunications data | el |
| dc.subject.keyword | Non-linear time series forecasting | el |
| dc.title | Telecommunications data forecasting based on a dynamic neuro-fuzzy network | en |
| dc.type | Άρθρο σε επιστημονικό συνέδριο | el |
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