| dc.contributor.author | Bilgili, E. | |
| dc.contributor.author | Ucan, O. N. | |
| dc.contributor.author | Goknar, I. C. | |
| dc.date.accessioned | 2021-03-02T20:09:47Z | |
| dc.date.available | 2021-03-02T20:09:47Z | |
| dc.identifier.citation | Bilgili E., Goknar I. C. , Ucan O. N. , "Applications of CNN with trapezoidal activation function", International Symposium on Complex Computing-Networks, İstanbul, Türkiye, 13 - 14 Haziran 2005, cilt.104, ss.235-237 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_00988270-8f20-4295-8c17-740102d869f5 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/6403 | |
| dc.description.abstract | This paper presents some applications of cellular neural network (CNN) scheme employing a new nonlinear activation function, called trapezoidal activation function (TAF). The new CNN structure can classify linearly nonseparable data points and realize Boolean operations (including XOR) by using only a single-layer CNN. | |
| dc.language.iso | eng | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
| dc.subject | Sinyal İşleme | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Mühendislik | |
| dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
| dc.title | Applications of CNN with trapezoidal activation function | |
| dc.type | Bildiri | |
| dc.contributor.department | Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) , , | |
| dc.identifier.volume | 104 | |
| dc.contributor.firstauthorID | 131653 | |
