| dc.contributor.advisor | Hjelsvold, Rune | |
| dc.contributor.author | Holvik, Joakim | |
| dc.date.accessioned | 2021-09-15T16:50:58Z | |
| dc.date.available | 2021-09-15T16:50:58Z | |
| dc.date.issued | 2021 | |
| dc.identifier | no.ntnu:inspera:77286548:21452268 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2778084 | |
| dc.description | Full text not available | |
| dc.description.abstract | Gjennkjenning av matematiske uttryk ved maskinlæring er utfordrende, ved å forbedre geometriske attributter
kan denne prosessen forbedres. Denne oppgaven tar for seg geometriske attributter. | |
| dc.description.abstract | Recognizing mathematical expressions with machine learning is challenging. By, improving the geometric features this process could be improved. | |
| dc.language | eng | |
| dc.publisher | NTNU | |
| dc.title | Improving features for classification of spatialrelationships in mathematical expressions using Artificial Neural Networks | |
| dc.type | Master thesis | |