DEVELOPING A PROPER MODEL FOR ONLINE ESTIMATION OF THE 5-DAY BIOCHEMICAL OXYGEN DEMAND BASED ON ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE

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.

ESKANDARI A.; NOURI R.; MERAJI H.; KIAGHADI A.

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

Journal Paper

Paper Information

Journal: Journal of Environmental Studies Year:2012 | Volume:38 | Issue:61 Page(s): 22-24

Download Full-Text

Persian Verion

View:

1,457

Download:

401

Cites:

Information Journal Paper

Title

DEVELOPING A PROPER MODEL FOR ONLINE ESTIMATION OF THE 5-DAY BIOCHEMICAL OXYGEN DEMAND BASED ON ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE

Author(s)

ESKANDARI A. | NOURI R. | MERAJI H. | KIAGHADI A. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORK (ANN)Q1

SUPPORT VECTOR MACHINE (SVM)Q1

SEFIDROOD RIVERQ2

5-DAYS BIOCHEMICAL OXYGEN DEMAND (BOD5)Q2

Abstract

Introduction: Five-day biochemical oxygen demand (BOD5) is one of the key parameters which is widely applied to evaluate the biological and chemical conditions of rivers, and to study the effects of releases in rivers from wastewater treatment plants, factories, farms, etc. Measurement of this parameter requires about 5 days. However, 5 days is a long time for the determination of BOD5. Therefore, in the present research two software sensors, i.e. artificial neural network (ANN) and support vector machine (SVM) are developed for the online estimation of BOD5. To achieve this goal, the SEFIDROOD RIVER in Iran was selected. It is pointed out that although ANN models have been used to predict BOD5, but using SVM techniques for the online estimation ofthis parameter have never been reported.

Cites

AUTOREGRESSIVE SIMULATION OF ZARRINEHRUD RIVER BASIN RUNOFF USING PROCRUSTES ANALYSIS METHOD AND ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE MODELS

References

No record.

Cite

APA: Copy

ESKANDARI, A., NOURI, R., MERAJI, H., & KIAGHADI, A.. (2012). DEVELOPING A PROPER MODEL FOR ONLINE ESTIMATION OF THE 5-DAY BIOCHEMICAL OXYGEN DEMAND BASED ON ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE. JOURNAL OF ENVIRONMENTAL STUDIES, 38(61), 22-24. SID. https://sid.ir/paper/387814/en

Vancouver: Copy

ESKANDARI A., NOURI R., MERAJI H., KIAGHADI A.. DEVELOPING A PROPER MODEL FOR ONLINE ESTIMATION OF THE 5-DAY BIOCHEMICAL OXYGEN DEMAND BASED ON ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE. JOURNAL OF ENVIRONMENTAL STUDIES[Internet]. 2012;38(61):22-24. Available from: https://sid.ir/paper/387814/en

IEEE: Copy

A. ESKANDARI, R. NOURI, H. MERAJI, and A. KIAGHADI, “DEVELOPING A PROPER MODEL FOR ONLINE ESTIMATION OF THE 5-DAY BIOCHEMICAL OXYGEN DEMAND BASED ON ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE,” JOURNAL OF ENVIRONMENTAL STUDIES, vol. 38, no. 61, pp. 22–24, 2012, [Online]. Available: https://sid.ir/paper/387814/en

Related Journal Papers