Training Multi-Layer Perceptron Using Harris Hawks Optimization
| dc.authorid | Izci, Davut/0000-0001-8359-0875 | |
| dc.authorid | Ekinci, Serdar/0000-0002-7673-2553 | |
| dc.authorid | Eker, Erdal/0000-0002-5470-8384 | |
| dc.authorscopusid | 57211714693 | |
| dc.authorscopusid | 26031603700 | |
| dc.authorscopusid | 57186395300 | |
| dc.authorscopusid | 57201318149 | |
| dc.authorwosid | Izci, Davut/T-6000-2019 | |
| dc.authorwosid | Kayri, Murat/Hlh-4902-2023 | |
| dc.authorwosid | Ekinci, Serdar/Aaa-7422-2019 | |
| dc.contributor.author | Eker, Erdal | |
| dc.contributor.author | Kayri, Murat | |
| dc.contributor.author | Ekinci, Serdar | |
| dc.contributor.author | Izci, Davut | |
| dc.date.accessioned | 2025-05-10T17:34:17Z | |
| dc.date.available | 2025-05-10T17:34:17Z | |
| dc.date.issued | 2020 | |
| dc.department | T.C. Van Yüzüncü Yıl Üniversitesi | en_US |
| dc.department-temp | [Eker, Erdal] Mus Alparslan Univ, Dept Mkt & Advertising, Mus, Turkey; [Kayri, Murat] Yuzuncu Yil Univ, Dept Comp & Instruct Technol, Van, Turkey; [Ekinci, Serdar] Batman Univ, Dept Comp Engn, Batman, Turkey; [Izci, Davut] Batman Univ, Vocat Sch Tech Sci, Batman, Turkey | en_US |
| dc.description | Izci, Davut/0000-0001-8359-0875; Ekinci, Serdar/0000-0002-7673-2553; Eker, Erdal/0000-0002-5470-8384 | en_US |
| dc.description.abstract | In this paper, Harris hawks optimization (HHO) algorithm has been proposed as an up-to-date meta-heuristic algorithm for training multi-layer perceptron (MLP). The performance of the HHO-based MLP trainer was tested by employing five standard data sets (XOR, Balloon, Iris, Breast Cancer and Heart). The results were compared with those obtained with the sine cosine algorithm (SCA). Comparative statistical results showed that using HHO algorithm as a trainer is more effective and has a higher rate of classification ability. | en_US |
| dc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| dc.identifier.doi | 10.1109/hora49412.2020.9152874 | |
| dc.identifier.endpage | 283 | en_US |
| dc.identifier.isbn | 9781728193526 | |
| dc.identifier.scopus | 2-s2.0-85089698640 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 279 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/hora49412.2020.9152874 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14720/13756 | |
| dc.identifier.wos | WOS:000644404300049 | |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | tr | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) -- JUN 26-27, 2020 -- TURKEY | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Multi-Layer Perceptron (Mlp) | en_US |
| dc.subject | Harris Hawks Optimization (Hho) | en_US |
| dc.subject | Sine Cosine Algorithm (Sca) | en_US |
| dc.title | Training Multi-Layer Perceptron Using Harris Hawks Optimization | en_US |
| dc.type | Conference Object | en_US |