| dc.contributor.author | Sevgen, Selcuk | |
| dc.contributor.author | Samli, Ruya | |
| dc.contributor.author | Arslan, Emel | |
| dc.date.accessioned | 2021-03-02T22:37:08Z | |
| dc.date.available | 2021-03-02T22:37:08Z | |
| dc.identifier.citation | Sevgen S., Arslan E., Samli R., "Number Recognition of Sudoku Grid Image with Artificial Neural Networks", 22nd International Conference on Neural Information Processing (ICONIP), İstanbul, Türkiye, 9 - 12 Kasım 2015, cilt.9492, ss.489-496 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_0dae748a-0700-4817-80cc-443c62b2b126 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/14780 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-26561-2_58 | |
| dc.description.abstract | In this study it is aimed to capture a SUDOKU grid image, to process this image, to recognize the numbers in the grid image with Artificial Neural Networks and finally to constitute a 9 x 9 number array with these numbers. The reason of choosing SUDOKU game as the input material is the thought of SUDOKU game as a prototype of real world fitting problems. After this number recognition is completed successfully, a robot software who finds the right solution of a SUDOKU game automatically will be developed. The next aim of this robot software is solving real world fitting problems. | |
| dc.language.iso | eng | |
| dc.subject | Biyoenformatik | |
| dc.subject | ROBOT | |
| dc.subject | Bilgisayar Bilimi | |
| dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | BİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM | |
| dc.subject | Mühendislik | |
| dc.subject | Algoritmalar | |
| dc.subject | Bilgisayar Bilimleri | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.title | Number Recognition of Sudoku Grid Image with Artificial Neural Networks | |
| dc.type | Bildiri | |
| dc.contributor.department | İstanbul Üniversitesi , , | |
| dc.identifier.volume | 9492 | |
| dc.contributor.firstauthorID | 145568 | |
