Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched rivers-Reference-Cited by-同舟云学术

Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched rivers

Published:2019-12-09 Issue:3-4 Volume:139 Page:1349-1362
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Pashazadeh Arash,Javan Mitra

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00704-019-03032-2.pdf

Reference61 articles.

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4. Azamathulla HM, Ghani AA, Leow CS, Chang CK (2011) Gene-expression programming for the development of a stage-discharge curve of the Pahang River. Water Resour Manag 25(11):2901–2916

5. Azamathulla HM, Rathnayake U, Shatnawi A (2018) Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia. Appl Water Sci 8:184

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