Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study-Reference-Cited by-同舟云学术

Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study

Published:2017-02-24 Issue:10 Volume:30 Page:2995-3006
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Keshtegar Behrooz,Heddam Salim^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-017-2917-8/fulltext.html

Reference48 articles.

1. Bayram A, Kankal M (2015) Artificial neural network modeling of dissolved oxygen concentration in a turkish watershed. Pol J Environ Stud 24(4):1507–1515

2. Bayram A et al (2015) Modeling stream dissolved oxygen concentration using teaching-learning based optimization algorithm. Environ Earth Sci 73(10):6565–6576. doi: 10.1007/s12665-014-3876-3

3. Schmid B, Koskiaho J (2006) artificial neural network modeling of dissolved oxygen in a wetland pond: the case of Hovi, Finland. ASCE J Hydrol Eng 11(2):188–192. doi: 10.1061/(ASCE)-0699(2006)11:2(188)

4. Wen X et al (2013) Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China. Environ Monit Assess 185:4361–4371. doi: 10.1007/s10661-012-2874-8

5. Akkoyunlu A et al (2011) Depth-integrated estimation of dissolved oxygen in a lake. ASCE J Environ Eng 137(10):961–967. doi: 10.1061/(ASCE)EE.1943-7870.0000376

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