Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models
Tarih
2019Yazar
Fathian, F.
Mehdizadeh, S.
Kozekalani Sales, A.
Safari, M.J.S.
Üst veri
Tüm öğe kaydını gösterÖzet
Prediction of river flow as a fundamental source of hydrological information plays a crucial role in various fields of water projects. In this study, at first, the capabilities of two time series analysis approaches, namely self-exciting threshold autoreg
Bağlantı
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067701686&doi=10.1016%2fj.jhydrol.2019.06.025&partnerID=40&md5=65888bffb04fa679686935322182f4c6https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9812
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