Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/4015Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Renners, Ingo | |
| dc.date.accessioned | 2018-09-24T16:14:46Z | - |
| dc.date.available | 2018-09-24T16:14:46Z | - |
| dc.date.issued | 2004 | |
| dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/10610 | - |
| dc.identifier.uri | http://dx.doi.org/10.25673/4015 | - |
| dc.description.statementofresponsibility | von Ingo Renners | |
| dc.format.extent | Online-Ressource (PDF-Datei: 183 S., 4307 KB) | |
| dc.language.iso | eng | |
| dc.publisher | Universitätsbibliothek | |
| dc.publisher | Otto von Guericke University Library, Magdeburg, Germany | |
| dc.title | Data-driven system identification via evolutionary retrieval of Takagi-Sugeno fuzzy models | |
| dc.title.alternative | Datengetriebene Systemidentifikation via Evolutionärer Generierung von Takagi-Sugeno Fuzzy Modellen | |
| dcterms.type | Hochschulschrift | |
| dc.type | PhDThesis | - |
| dc.identifier.urn | urn:nbn:de:101:1-201010123305 | |
| local.publisher.universityOrInstitution | Otto-von-Guericke-Universität Magdeburg | |
| local.subject.keywords | Systemidentification, evolutionary automatic, data-driven model, fuzzy Takagi-Sugeno grammar, genotype interpretability, toxicity-prediction | |
| local.openaccess | true | - |
| Appears in Collections: | Fakultät für Informatik | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ingrenners.pdf | 4.31 MB | Adobe PDF |  View/Open |