Integrating metaheuristics and artificial neural network for weather forecasting

Basit Öğe Kaydı
dc.authoridOZCALICI, Mehmet/0000-0003-0384-6872
dc.authoridDosdogru, Ayse Tugba/0000-0002-1548-5237
dc.contributor.authorGocken, Mustafa
dc.contributor.authorBoru, Ash
dc.contributor.authorDosdogru, Ayse Tugba
dc.contributor.authorOzcalici, Mehmet
dc.date.accessioned2025-01-06T17:36:27Z
dc.date.available2025-01-06T17:36:27Z
dc.date.issued2018
dc.description.abstractOver the years, researchers have been analysing to forecast the weather as precisely as possible in order to provide better living conditions. Nevertheless, there is no consensus on the effective weather forecasting methods and therefore, research on providing applicable and effective forecasting methods has been continued. In this study, artificial neural networks (ANNs) are integrated with two metaheuristic methods including genetic algorithm (GA) and harmony search (HS) to determine the most relevant input variables and to search the most appropriate number of hidden neurons. The proposed forecasting methods are implemented for six different cities of Turkey that are selected according to Aydeniz's climate classification. The results of the graphical analysis and performance measures show that daily mean temperature forecasting is improved by GA-ANN and HS-ANN methods due to the ability to capture the advantages of metaheuristic and ANN simultaneously.
dc.identifier.doi10.1504/IJGW.2018.10012630
dc.identifier.endpage461
dc.identifier.issn1758-2083
dc.identifier.issn1758-2091
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85046949049
dc.identifier.scopusqualityQ3
dc.identifier.startpage440
dc.identifier.urihttps://doi.org/10.1504/IJGW.2018.10012630
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1888
dc.identifier.volume14
dc.identifier.wosWOS:000436155500003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInderscience Enterprises Ltd
dc.relation.ispartofInternational Journal of Global Warming
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectartificial neural network
dc.subjectANN
dc.subjectgenetic algorithm
dc.subjectGA
dc.subjectharmony search
dc.subjectHS
dc.subjectweather forecasting
dc.titleIntegrating metaheuristics and artificial neural network for weather forecasting
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu