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Engineering Applications of Computational Fluid Mechanics Volume 12, 2018 - Issue 1
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Articles

Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

Pezhman Taherei GhazvineiYoung Researchers and Elite Club, Islamic Azad University, Tehran, IranORCID Iconhttp://orcid.org/0000-0001-9186-7109
ORCID Icon,
Hossein Hassanpour DarvishiDepartment of Civil Engineering, Engineering and Management of Water Resources, Shahr-e-Qods Brach, Islamic Azad University, Tehran, Iran
,
Amir MosaviInstitute of Structural Mechanics, Bauhaus University Weimar, Weimar, Germany;Institute of Automation, Kalman Kando Faculty of Electrical Engineering, Obuda University, Budapest, Hungary;Institute of Advanced Studies Koszeg, IASK, Koszeg, Hungary
,
Khamaruzaman bin Wan YusofCivil and Engineering Department, Universiti Teknologi Petronas, Perak, Malaysia
,
Meysam AlizamirYoung Researchers and Elite Club, Hamedan Branch, Islamic Azad University, Hamedan, Iran
,
Shahaboddin ShamshirbandDepartment for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, VietnamCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-6605-498X
ORCID Icon &
Kwok-wing ChauDepartment of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China
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Pages 738-749 | Received 09 Nov 2017, Accepted 17 Sep 2018, Published online: 28 Sep 2018

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