Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/24051| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gancev, Stojancho | en_US |
| dc.contributor.author | Kulakov, Andrea | en_US |
| dc.date.accessioned | 2022-11-01T12:44:55Z | - |
| dc.date.available | 2022-11-01T12:44:55Z | - |
| dc.date.issued | 2009-10-29 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/24051 | - |
| dc.description.abstract | The paper deals with the problem of faster optimal coverage of a Growing Neural Gas algorithm for random signals appearing with non-stationary distributions. A modification of the algorithm that successfully solves this problem will be presented with simulations in a 2-D environment and statistical results that will show its efficiency. A comparison with a previous solution for the same problem using so called Utility measure will be also given. | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | growing neural gas; faster convergence; fuzzy algorithm; non-stationary distribution; | en_US |
| dc.title | Modified growing neural gas algorithm for faster convergence on signal distribution sudden change | en_US |
| dc.type | Proceedings | en_US |
| dc.relation.conference | 2009 XXII International Symposium on Information, Communication and Automation Technologies | en_US |
| item.grantfulltext | open | - |
| item.fulltext | With Fulltext | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PID996077.pdf | 568.54 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.