Palun kasuta seda identifikaatorit viitamiseks ja linkimiseks:
http://elartu.tntu.edu.ua/handle/lib/36940
Täiskirje
| DC väli | Väärtus | Keel |
|---|---|---|
| dc.contributor.author | Tymkiv, Pavlo | |
| dc.coverage.temporal | 15-17 December 2021 | |
| dc.date.accessioned | 2021-12-28T20:03:15Z | - |
| dc.date.available | 2021-12-28T20:03:15Z | - |
| dc.date.created | 2021-12-15 | |
| dc.date.issued | 2021-12-15 | |
| dc.identifier.citation | Tymkiv P. Analysis of the complexity of algorithms for finding the coefficients of the mathematical model of lowintensity electroretinosignal / Pavlo Tymkiv // ICAAEIT 2021, 15-17 December 2021. — Tern. : TNTU, Zhytomyr «Publishing house „Book-Druk“» LLC, 2021. — P. 145–150. — (Biomedical engineering). | |
| dc.identifier.isbn | 978-617-8079-60-4 | |
| dc.identifier.uri | http://elartu.tntu.edu.ua/handle/lib/36940 | - |
| dc.description.abstract | The complexity of methods of parametric identification is analyzed and their comparison is carried out at definition of coefficients of mathematical model of response of a retina of an eye at decrease in intensity of test light irritation. The algorithm of parametric identification of the mathematical model of retinal response based on direct complete search has a significant time complexity, which prevents rapid readjustment of the expert system in the case ofremote, automated processing of low-intensity retinal response to diagnose the functional state of the body. Therefore, it is necessary to study the complexity of search algorithms and apply other approaches to solving problem of optimization or parameter identification. In this case, the criterion K of the optimality of the selection of coefficients will be the proximity of the simulated retinal response to the reference, pre-developed response. | |
| dc.format.extent | 145-150 | |
| dc.language.iso | en | |
| dc.publisher | TNTU, Zhytomyr «Publishing house „Book-Druk“» LLC | |
| dc.relation.ispartof | Proceedings of the International Conference „Advanced applied energy and information technologies 2021”, 2021 | |
| dc.subject | electroretinosignal | |
| dc.subject | parametric identification | |
| dc.subject | complexity | |
| dc.subject | optimization | |
| dc.subject | low intensity | |
| dc.title | Analysis of the complexity of algorithms for finding the coefficients of the mathematical model of lowintensity electroretinosignal | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Ternopil Ivan Puluj National Technical University, Ukraine, 2021 | |
| dc.coverage.placename | Ternopil | |
| dc.format.pages | 6 | |
| dc.relation.referencesen | 1. Papadimitriou, C. H. (1994). Computational complexity. Addison-Wesley. | |
| dc.relation.referencesen | 2. Cobham, A. (1965). The intrinsic computational difficulty of functions. Logic, methodology and philosophy of science, Proceedings of the 1964 International Congress. Amsterdam, The Netherlands. | |
| dc.relation.referencesen | 3. Tymkiv, P.O., Yavorskyi, B.I. (2011). Parametrychna identyfikatsiia matematychnoi modeli elektroretynosyhnalu. XV naukova konferentsiia.. Ternopil, Ukraine. | |
| dc.relation.referencesen | 4. Tymkiv, P.O., Zabytivskyi, V.P., Yavorskyi, B.I. (2016). Syntez filtru Kalmana dlia opratsiuvannia nyzko intensyvnoho elektroretynosyhnalu. Vymiriuvalna ta obchysliuvalna tekhnika v tekhnolohichnykh protsesakh, 1. 168-176. | |
| dc.relation.referencesen | 5. Tymkiv, P.O. (2018). Veryfikatsiia udoskonalenoho metodu vyznachennia koefitsiientiv filtru Kalmana u nyzko intensyvnii elektroretynohrafii. FUNDAMENTALNI TA PRYKLADNI PROBLEMY SUChASNYKh TEKhNOLOHII, Proceeings of the International Conference. Ternopli, Ukraine. | |
| dc.relation.referencesen | 6. Tkachuk, R., Yavorskyi, B. (2009). Metod pobudovy biotekhnichnoi systemy dlia otsiniuvannia elektroretynohram z pidvyshchenymy virohidnistiu ta efektyvnistiu. Visnyk TDTU, 14(3), 102-110. | |
| dc.relation.referencesen | 7. Tkachuk, R. A. (2009). Optymalna obrobka elektroretynosyhnalu dlia vyznachennia formy elektroretynohramy. Vymiriuvalna tekhnika ta metrolohiia, 70, 9-13. | |
| dc.relation.referencesen | 8. Bakulev, P.A. (2004). Radyolokatsyonnye systemy: uchebnyk dlia vuzov. Moskva: Radyotekhnyka. | |
| dc.relation.referencesen | 9. Tymkiv, P.O., Demchuk, L.B. (2020). Application of Hooke-Jeeves algorithm for electroretinosignal processing, Innovatsii partnerskoi vzaiemodii osvity, ekonomiky ta sotsialnoho zakhystu v umovakh inkliuzii ta prahmatychnoi reabilitatsii sotsiumu, Proceedings of the International Conference. Kamianets-Podilskyi, Ukraine. | |
| dc.identifier.citationen | Tymkiv P. (2021) Analysis of the complexity of algorithms for finding the coefficients of the mathematical model of lowintensity electroretinosignal. ICAAEIT 2021 (Tern., 15-17 December 2021), pp. 145-150. | |
| dc.contributor.affiliation | Ternopil National Ivan Puluj Technical University, Rus’ka str. 56, 46001, Ternopil, Ukraine | |
| dc.citation.spage | 145 | |
| dc.citation.epage | 150 | |
| Asub kollektsiooni(de)s: | International conference „Advanced Applied Energy and Information Technologies 2021“, (ICAAEIT 2021) | |
Failid selles objektis:
| Fail | Kirjeldus | Suurus | Formaat | |
|---|---|---|---|---|
| ICAAEIT_2021_Tymkiv_P-Analysis_of_the_complexity_145-150.pdf | 947,37 kB | Adobe PDF | Vaata/Ava | |
| ICAAEIT_2021_Tymkiv_P-Analysis_of_the_complexity_145-150.djvu | 387,58 kB | DjVu | Vaata/Ava | |
| ICAAEIT_2021_Tymkiv_P-Analysis_of_the_complexity_145-150__COVER.png | 506,42 kB | image/png | Göster/Aç |
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