Neural network training method in hyperbolic wavelet transformation space for recognition of photomasks
| dc.contributor.author | Kozina, Yuliya | |
| dc.date.accessioned | 2014-03-04T13:04:04Z | |
| dc.date.available | 2014-03-04T13:04:04Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | During deployment of existing hardware-software complexes for controlling of photomasks quality in the conditions of small production lots of microelectronics leads to unjustified quality cost increase. In case of lowering of requirements to the software of such complexes, noise on the photomasks images inevitably appear, which leads to the decrease of credibillity of recognition of reference signs, which are located on the images, and to the decrease of credibillity of control results. Therefore, with the purpose of increase of credibillity of recognition it is proposed to execute recognition of reference sings on the bases of nose-eliminating of neural network training in the space of hyperbolic wavelet transformation. | uk_UA |
| dc.identifier.citation | Kozina Y. Neural network training method in hyperbolic wavelet transformation space for recognition of photomasks / Yuliya Kozina // Комп'ютерні науки та інженерія : матеріали VІ Міжнародної конференції молодих вчених CSE-2013, 21–23 листопада 2013 року, Україна, Львів / Міністерство освіти і науки України, Національний університет "Львівська політехніка". – Львів : Видавництво Львівської політехніки, 2013. – С. 202-203. – (4-й Міжнародний молодіжний фестиваль науки "Litteris et Artibus"). – Bibliography: 5 titles. | uk_UA |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/23802 | |
| dc.language.iso | en | uk_UA |
| dc.publisher | Видавництво Львівської політехніки | uk_UA |
| dc.subject | neural network | uk_UA |
| dc.subject | hyperbolic wavelet transformation space | uk_UA |
| dc.subject | reference sign | uk_UA |
| dc.subject | photomask | uk_UA |
| dc.subject | recognition | uk_UA |
| dc.title | Neural network training method in hyperbolic wavelet transformation space for recognition of photomasks | uk_UA |
| dc.type | Article | uk_UA |