Rough sets and neural networks both offer good theoretical background for data processing and analysis. However, both of them suffer from few issues. This thesis will investigate methods by which these two concepts are merged, and few such solutions will be implemented and compared with conventional algorithm to study the benefits of this approach.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:264945 |
| Date | January 2015 |
| Creators | Čurilla, Matej |
| Contributors | Hrubý, Martin, Zbořil, František |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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