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pro vyhledávání: '"Porya Ghasemi"'
Autor:
Porya Ghasemi, Masoud Karbasi, Alireza Zamani Nouri, Mahdi Sarai Tabrizi, Hazi Mohammad Azamathulla
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 5375-5392 (2021)
Forecasting of drought can be very useful in preparing to reduce its impacts, especially in the agricultural sector. Three machine learning models of MLP neural network, GRNN neural network, and Gaussian process regression were used to forecast the a
Externí odkaz:
https://doaj.org/article/2b021e9ce7b445c7b6bdbb9ee6ca6a8c
Autor:
Mahdi Sarai Tabrizi, Masoud Karbasi, Hazi Mohammad Azamathulla, Alireza Zamani Nouri, Porya Ghasemi
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 5375-5392 (2021)
Forecasting of drought can be very useful in preparing to reduce its impacts, especially in the agricultural sector. Three machine learning models of MLP neural network, GRNN neural network, and Gaussian process regression were used to forecast the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::254ed803e30721049c2ac8ec9b80056e
https://doi.org/10.1016/j.aej.2021.04.022
https://doi.org/10.1016/j.aej.2021.04.022