Estimation of Water Quality Parameters in the Sepidrood River by ANFIS, GEP and LS-SVM Models

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ADIB A.; Farajpanah H.; MAHMOUDIAN SHOUSHTARI M.; Ahmadeanfar I.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: WATER AND WASTEWATER Year:2020 | Volume:31 | Issue:5 Page(s): 1-10

Download Full-Text

Persian Verion

View:

453

Download:

Cites:

Information Journal Paper

Title

Estimation of Water Quality Parameters in the Sepidrood River by ANFIS, GEP and LS-SVM Models

Author(s)

ADIB A. | Farajpanah H. | MAHMOUDIAN SHOUSHTARI M. | Ahmadeanfar I. | Issue Writer Certificate

Keywords

The Sepidrood RiverQ1

Water QualityQ2

ANFISQ1

LS-SVMQ1

GEPQ1

Abstract

Rivers are the most important water supply resource for the drinkable, agricultural and industrial demands. Therefore, estimation of Water Quality parameters in rivers is an essential and necessary task. This research applies the Adaptive Neuro-Fuzzy Inference System (ANFIS), the Least Squares-Support Vector Machines (LS-SVM) and the Gene Expression Programming (GEP) for estimation of Total Dissolved Solids (TDS), Electrical Conductivity (EC) and Total Hardness (TH) in The Sepidrood River and a 40 year period. The applied performance criteria are the correlation coefficient (R), the Nash-Sutcliffe model Efficiency coefficient (NSE), the Normalized Mean Squared Error (NMSE) and the Mean Absolute Error (MAE). These methods have high ability for estimation of Water Quality parameters. The best method is LS-SVM method for estimation of TDS (RTrain=0. 95 RTest=0. 96). The best method is GEP method for estimation of EC (RTrain=0. 94 RTest=0. 95). The best method is ANFIS method for estimation of TH (RTrain=0. 92 RTest=0. 94). This research shows that intelligence methods can estimate unmeasured concentration of qualitative parameters by concentration of other qualitative parameters.

Cites

No record.

References

No record.

Cite

APA: Copy

ADIB, A., Farajpanah, H., MAHMOUDIAN SHOUSHTARI, M., & Ahmadeanfar, I.. (2020). Estimation of Water Quality Parameters in the Sepidrood River by ANFIS, GEP and LS-SVM Models. WATER AND WASTEWATER, 31(5 ), 1-10. SID. https://sid.ir/paper/374787/en

Vancouver: Copy

ADIB A., Farajpanah H., MAHMOUDIAN SHOUSHTARI M., Ahmadeanfar I.. Estimation of Water Quality Parameters in the Sepidrood River by ANFIS, GEP and LS-SVM Models. WATER AND WASTEWATER[Internet]. 2020;31(5 ):1-10. Available from: https://sid.ir/paper/374787/en

IEEE: Copy

A. ADIB, H. Farajpanah, M. MAHMOUDIAN SHOUSHTARI, and I. Ahmadeanfar, “Estimation of Water Quality Parameters in the Sepidrood River by ANFIS, GEP and LS-SVM Models,” WATER AND WASTEWATER, vol. 31, no. 5 , pp. 1–10, 2020, [Online]. Available: https://sid.ir/paper/374787/en

Related Journal Papers