Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hojatolah Younesi"'
Autor:
Hojatolah Younesi, Ahmad Godarzi
Publikováno v:
Environmental Resources Research, Vol 9, Iss 2, Pp 213-226 (2021)
River flow forecasting is of immense importance for reliable planning, designing, and management of water resources projects. This study investigated the performance of wavelet neural network, support vector machine, artificial neural network, and Mu
Externí odkaz:
https://doaj.org/article/80f06aca47e149959a186bb70dcba997
Publikováno v:
Air, Soil and Water Research, Vol 13 (2020)
In this study, the hybrid support vector machine–artificial flora algorithm method was developed and the obtained results were compared with those of the support vector–wave vector machine model. Karkheh catchment area was considered as a case st
Externí odkaz:
https://doaj.org/article/dc2fc017f67645ce81f40d8bbb78a65e
Publikováno v:
Acta Geophysica. 68:1763-1778
Precise estimation of river flow in catchment areas has a significant role in managing water resources and, particularly, making firm decisions during flood and drought crises. In recent years, different procedures have been proposed for estimating r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a49ffaba9a7d1eb0fc2abcc6578a6dcd
https://doi.org/10.1007/s11600-020-00472-7
https://doi.org/10.1007/s11600-020-00472-7
Publikováno v:
Air, Soil and Water Research, Vol 13 (2020)
In this study, the hybrid support vector machine–artificial flora algorithm method was developed and the obtained results were compared with those of the support vector–wave vector machine model. Karkheh catchment area was considered as a case st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d16c87444a7b16d92cf6a4c325d8d58d
https://doaj.org/article/dc2fc017f67645ce81f40d8bbb78a65e
https://doaj.org/article/dc2fc017f67645ce81f40d8bbb78a65e