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pro vyhledávání: '"Mohammadreza Neyshabouri"'
Autor:
Shahaboddin Shamshirband, Fatemeh Esmaeilbeiki, Davoud Zarehaghi, Mohammadreza Neyshabouri, Saeed Samadianfard, Mohammad Ali Ghorbani, Amir Mosavi, Narjes Nabipour, Kwok-Wing Chau
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 14, Iss 1, Pp 939-953 (2020)
This research aims to model soil temperature (ST) using machine learning models of multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with the Firefly optimization algorithm, i.e. MLP-FFA and SVM-FFA. In the current
Externí odkaz:
https://doaj.org/article/81a7e19c72ae4d86b26ba725f0066234