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http://hdl.handle.net/20.500.12188/24051| Title: | Modified growing neural gas algorithm for faster convergence on signal distribution sudden change | Authors: | Gancev, Stojancho Kulakov, Andrea |
Keywords: | growing neural gas; faster convergence; fuzzy algorithm; non-stationary distribution; | Issue Date: | 29-Oct-2009 | Publisher: | IEEE | Conference: | 2009 XXII International Symposium on Information, Communication and Automation Technologies | 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. | URI: | http://hdl.handle.net/20.500.12188/24051 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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| File | Description | Size | Format | |
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| PID996077.pdf | 568.54 kB | Adobe PDF | View/Open |
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