A novel computational approach to approximate fuzzy interpolation polynomials
| dc.authorid | Jafari, Raheleh/0000-0001-7298-2363 | |
| dc.authorscopusid | 25031262700 | |
| dc.authorscopusid | 55413120700 | |
| dc.authorscopusid | 57045880100 | |
| dc.authorscopusid | 7005872966 | |
| dc.authorwosid | Baleanu, Dumitru/B-9936-2012 | |
| dc.contributor.author | Jafarian, Ahmad | |
| dc.contributor.author | Jafari, Raheleh | |
| dc.contributor.author | Al Qurashi, Maysaa Mohamed | |
| dc.contributor.author | Baleanu, Dumitru | |
| dc.contributor.authorID | 56389 | tr_TR |
| dc.contributor.other | Matematik | |
| dc.date.accessioned | 2020-04-17T12:55:31Z | |
| dc.date.available | 2020-04-17T12:55:31Z | |
| dc.date.issued | 2016 | |
| dc.department | Çankaya University | en_US |
| dc.department-temp | [Jafarian, Ahmad] Islamic Azad Univ, Urmia Branch, Dept Math, Orumiyeh, Iran; [Jafari, Raheleh] CINVESTAV IPN Natl Polytech Inst, Dept Control Automat, Mexico City, DF, Mexico; [Al Qurashi, Maysaa Mohamed] King Saud Univ, Dept Math, Riyadh 11495, Saudi Arabia; [Baleanu, Dumitru] Cankaya Univ, Fac Art & Sci, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] Inst Space Sci, Magurele, Romania | en_US |
| dc.description | Jafari, Raheleh/0000-0001-7298-2363 | en_US |
| dc.description.abstract | This paper build a structure of fuzzy neural network, which is well sufficient to gain a fuzzy interpolation polynomial of the form y(p) = a(n)x(p)(n) +... + a(1)x(p) + a(0) where a(j) is crisp number (for j = 0,..., n), which interpolates the fuzzy data (x(j), y(j)) (for j = 0,..., n). Thus, a gradient descent algorithm is constructed to train the neural network in such a way that the unknown coefficients of fuzzy polynomial are estimated by the neural network. The numeral experimentations portray that the present interpolation methodology is reliable and efficient. | en_US |
| dc.description.publishedMonth | 8 | |
| dc.description.sponsorship | Research Center of the Center for Female Scientific and Medical Colleges, Deanship of Scientific Research, King Saud University | en_US |
| dc.description.sponsorship | The research is supported by a grant from the "Research Center of the Center for Female Scientific and Medical Colleges", Deanship of Scientific Research, King Saud University. The authors are also thankful to visiting professor program at King Saud University for support. | en_US |
| dc.description.woscitationindex | Science Citation Index Expanded | |
| dc.identifier.citation | Jafarian, Ahmad...et al. (2016). "A novel computational approach to approximate fuzzy interpolation polynomials", Springerplus, Vol. 5. | en_US |
| dc.identifier.doi | 10.1186/s40064-016-3077-5 | |
| dc.identifier.issn | 2193-1801 | |
| dc.identifier.pmid | 27625982 | |
| dc.identifier.scopus | 2-s2.0-84984622111 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1186/s40064-016-3077-5 | |
| dc.identifier.volume | 5 | en_US |
| dc.identifier.wos | WOS:000391792600001 | |
| dc.identifier.wosquality | N/A | |
| dc.institutionauthor | Baleanu, Dumitru | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer international Publishing Ag | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.scopus.citedbyCount | 15 | |
| dc.subject | Fuzzy Neural Networks | en_US |
| dc.subject | Fuzzy Interpolation Polynomial | en_US |
| dc.subject | Cost Function | en_US |
| dc.subject | Learning Algorithm | en_US |
| dc.title | A novel computational approach to approximate fuzzy interpolation polynomials | tr_TR |
| dc.title | A Novel Computational Approach To Approximate Fuzzy Interpolation Polynomials | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 10 | |
| dspace.entity.type | Publication | |
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