Fractional Order Model Identification of Receptor-Ligand Complexes Formation by Equivalent Electrical Circuit Modeling
dc.authorid | Alagoz, Baris Baykant/0000-0001-5238-6433 | |
dc.authorid | Tepljakov, Aleksei/0000-0002-7158-8484 | |
dc.authorid | Petlenkov, Eduard/0000-0003-2167-6280 | |
dc.authorid | Kuznetsov, Aleksei/0000-0002-9239-8276 | |
dc.authorid | Yeroglu, Celaleddin/0000-0002-6106-2374 | |
dc.authorid | ATES, Abdullah/0000-0002-4236-6794 | |
dc.authorwosid | Alagoz, Baris Baykant/ABG-8526-2020 | |
dc.authorwosid | Tepljakov, Aleksei/F-1632-2017 | |
dc.authorwosid | Petlenkov, Eduard/G-5537-2017 | |
dc.authorwosid | ATES, Abdullah/V-6929-2018 | |
dc.contributor.author | Ates, Abdullah | |
dc.contributor.author | Alagoz, Bans Baykant | |
dc.contributor.author | Tepljakov, Aleksei | |
dc.contributor.author | Petlenkov, Eduard | |
dc.contributor.author | Yeroglu, Celaledddin | |
dc.contributor.author | Kuznetsov, Aleksei | |
dc.contributor.author | Sobolev, Innokenti | |
dc.date.accessioned | 2024-08-04T20:46:54Z | |
dc.date.available | 2024-08-04T20:46:54Z | |
dc.date.issued | 2019 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description | International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEY | en_US |
dc.description.abstract | In this study, relevant time resolved kinetic system is modeled according to linear fractional order model structure under the electrical circuit model assumption. The data, which were obtained from receptor ligand, are very noisy. Particularly, the unstable flowing of liquids around surfaces leads to irregular mass-transfer between the layers of reagent near the surface. Current flow of equivalent electric circuit modeling resembles overall mass flow and accumulation on surface corresponds to charge collection in capacitance. Thus, the charging and discharging process of fractional order capacitor can be used to represent accumulation and relaxation mechanisms of the receptor ligand complexes formation by using Stochastic Multi-parameter Divergence Optimization (SMDO) method. Meanwhile, error function that is comparison between model output with real output is used as an objective function for optimization of the fractional order model parameters. | en_US |
dc.description.sponsorship | IEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesi | en_US |
dc.description.sponsorship | COST (European Cooperation in Science and Technology) [CA15225] | en_US |
dc.description.sponsorship | This article is based upon work from COST Action CA15225 a network supported by COST (European Cooperation in Science and Technology). | en_US |
dc.identifier.doi | 10.1109/idap.2019.8875913 | |
dc.identifier.scopus | 2-s2.0-85074881112 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://doi.org/10.1109/idap.2019.8875913 | |
dc.identifier.uri | https://hdl.handle.net/11616/99033 | |
dc.identifier.wos | WOS:000591781100043 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Receptor ligand | en_US |
dc.subject | fractional | en_US |
dc.subject | model identification | en_US |
dc.subject | optimization | en_US |
dc.subject | SMDO | en_US |
dc.title | Fractional Order Model Identification of Receptor-Ligand Complexes Formation by Equivalent Electrical Circuit Modeling | en_US |
dc.type | Conference Object | en_US |