A hybrid SVM-FFA method for prediction of monthly mean global solar radiation

• 主要な著者: Shamshirband, S., Mohammadi, K., Tong, C. W., Zamani, M., Motamedi, S., Ch, S.
• フォーマット: 論文
• 出版事項: Springer-Verlag Wien 2016
• 主題: Q Science (General)
• オンライン･アクセス: http://eprints.utm.my/id/eprint/71600/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929121341&doi=10.1007%2fs00704-015-1482-2&partnerID=40&md5=1def2bb03ee03f7367bb1be94bf47d67

In this study, a hybrid support vector machine–firefly optimization algorithm (SVM-FFA) model is proposed to estimate monthly mean horizontal global solar radiation (HGSR). The merit of SVM-FFA is assessed statistically by comparing its performance with three previously used approaches. Using each a...