Training multi-layer perceptron using harris hawks optimization
| dc.contributor.author | Eker, Erdal | |
| dc.contributor.author | Kayri, Murat | |
| dc.contributor.author | Ekinci, Serdar | |
| dc.contributor.author | İzci, Davut | |
| dc.date.accessioned | 2021-04-10T16:39:15Z | |
| dc.date.available | 2021-04-10T16:39:15Z | |
| dc.date.issued | 2020 | |
| dc.department | Meslek Yüksekokulları, Sosyal Bilimler Meslek Yüksekokulu, Muhasebe ve Vergi Bölümü | en_US |
| dc.description | 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 --26 June 2020 through 27 June 2020 -- -- 162106 | en_US |
| dc.description | 2-s2.0-85089698640 | 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. © 2020 IEEE. | en_US |
| dc.identifier.doi | 10.1109/HORA49412.2020.9152874 | |
| dc.identifier.isbn | 9781728193526 | |
| dc.identifier.scopus | 2-s2.0-85089698640 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org10.1109/HORA49412.2020.9152874 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12639/2356 | |
| dc.identifier.wos | WOS:000644404300049 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Eker, Erdal | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | HORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Harris hawks optimization (HHO) | en_US |
| dc.subject | Multi-layer perceptron (MLP) | |
| dc.subject | Sine cosine algorithm (SCA) | |
| dc.title | Training multi-layer perceptron using harris hawks optimization | en_US |
| dc.type | Conference Object |
