Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/5761Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.referee | Prof. Dr. Schwenzfeger, Günther | |
| dc.contributor.author | Obukhof, Egor | |
| dc.date.accessioned | 2018-09-24T18:25:54Z | - |
| dc.date.available | 2018-09-24T18:25:54Z | - |
| dc.date.issued | 2016 | |
| dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/12572 | - |
| dc.identifier.uri | http://dx.doi.org/10.25673/5761 | - |
| dc.language.iso | eng | - |
| dc.publisher | Bibliothek, Hochschule Anhalt | |
| dc.subject.ddc | 000 | - |
| dc.subject.ddc | 004 | - |
| dc.title | The classification of technical equipment states, using a neural nets approach | |
| dcterms.type | Hochschulschrift | |
| dc.type | Master Thesis | |
| dc.identifier.urn | urn:nbn:de:gbv:kt1-1498 | |
| local.publisher.universityOrInstitution | Hochschule Anhalt | |
| local.openaccess | true | - |
| Appears in Collections: | Informatik und Sprachen | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Masterarbeit Egor Obukhov.pdf | 608.19 kB | Adobe PDF |  View/Open |