ESTIMATING OF SIDE WEIR DISCHARGE COEFFICIENT BY USING NEURO-FUZZY (ANFIS)

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.

HONAR T.; TARAZKAR M.H.; TARAZKAR M.R.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Conservation Year:2010 | Volume:17 | Issue:2 Page(s): 169-176

Download Full-Text

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

Persian Verion

View:

842

Download:

Cites:

Information Journal Paper

Title

ESTIMATING OF SIDE WEIR DISCHARGE COEFFICIENT BY USING NEURO-FUZZY (ANFIS)

Author(s)

HONAR T. | TARAZKAR M.H. | TARAZKAR M.R. | Issue Writer Certificate

Keywords

DISCHARGE COEFFICIENTQ1

SIDE WEIRQ2

NEURO-FUZZYQ3

Abstract

According to the SIDE WEIR application, which is widely used in irrigation and drainage systems, accurate estimation of DISCHARGE COEFFICIENT is a quite important problem for many investigators. So, in this study by using laboratory data, sugeno NEURO-FUZZY with either gaussian and g-bell membership function and with hybrid and back-propagation learning methods was used to analyze DISCHARGE COEFFICIENT of inclined and flat SIDE WEIR crest. In this paper 90 percent of data were used for training and 10 percent for testing. The results showed that adding fuzzy logic to artificial neural networks in shape of Adaptive Network-based Fuzzy Inference System approach with Gaussian membership function and hybrid learning method that has three fuzzy rules reduce forecast mean absolute percentage error to value of 1.58 and 5.53 respectively for inclined and flat SIDE WEIR. So NEURO-FUZZY method can estimate DISCHARGE COEFFICIENT more accurate than other investigation methods.

Cites

SIMULATION OF RAINFALL-RUNOFF PROCESS USING MULTILAYER PERCEPTRON AND ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM AND MULTIPLE REGRESSIONS (CASE STUDY: KHORRAMABD WATERSHED)

References

No record.

Cite

APA: Copy

HONAR, T., TARAZKAR, M.H., & TARAZKAR, M.R.. (2010). ESTIMATING OF SIDE WEIR DISCHARGE COEFFICIENT BY USING NEURO-FUZZY (ANFIS). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 17(2), 169-176. SID. https://sid.ir/paper/156237/en

Vancouver: Copy

HONAR T., TARAZKAR M.H., TARAZKAR M.R.. ESTIMATING OF SIDE WEIR DISCHARGE COEFFICIENT BY USING NEURO-FUZZY (ANFIS). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2010;17(2):169-176. Available from: https://sid.ir/paper/156237/en

IEEE: Copy

T. HONAR, M.H. TARAZKAR, and M.R. TARAZKAR, “ESTIMATING OF SIDE WEIR DISCHARGE COEFFICIENT BY USING NEURO-FUZZY (ANFIS),” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 17, no. 2, pp. 169–176, 2010, [Online]. Available: https://sid.ir/paper/156237/en

Related Journal Papers