EVALUATION OF STATISTICAL, EMPIRICAL, NEURAL NETWORKS AND NEURAL – FUZZY TECHNIQUES FOR ESTIMATION OF SPILLWAY AERATORS

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.

MAHDAVI MEYMAND A.; AHADIYAN J.

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

Journal Paper

Paper Information

Journal: Journal of Irrigation Sciences and Engineering Year:2015 | Volume:38 | Issue:3 Page(s): 51-61

Download Full-Text

Persian Verion

View:

865

Download:

Cites:

Information Journal Paper

Title

EVALUATION OF STATISTICAL, EMPIRICAL, NEURAL NETWORKS AND NEURAL – FUZZY TECHNIQUES FOR ESTIMATION OF SPILLWAY AERATORS

Author(s)

MAHDAVI MEYMAND A. | AHADIYAN J. | Issue Writer Certificate

Keywords

CAVITATIONQ1

AERATORQ1

STEPWISE REGRESSIONQ2

NEURAL NETWORKQ2

FUZZY LOGICQ2

Abstract

One way to decreases the damage caused by CAVITATION in spillways is aeration flow using AERATORs. The required air flow of AERATOR is one of the most important factors in their design. In this study, to estimate the required air flow of spillway AERATORs four methods were applied including of STEPWISE REGRESSION, Pfister empirical method, NEURAL NETWORK (based on Levenberg- Marquardt algorithm) and the combination of fuzzy-neural (ANFIS). In order to perform of modeling, 914 experimental data on physical model of Clyde Dam spillway and 12 data of Azad Dam related to conducted tests by Water Research Center on Azad dam hydraulic model were gathered. However, the performance and error of these methods were investigated after calculating the required air flow of AERATORs. The results showed that the combination of fuzzy-neural has the best performance with a root mean square error (RMSE) and correlation coefficient (R) about 0.0194 and 0.968, respectively. In addition, artificial NEURAL NETWORK, STEPWISE REGRESSION and Pfister empirical methods had a root mean square error equal to 0.0538, 0.0596 and 1.98, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

MAHDAVI MEYMAND, A., & AHADIYAN, J.. (2015). EVALUATION OF STATISTICAL, EMPIRICAL, NEURAL NETWORKS AND NEURAL – FUZZY TECHNIQUES FOR ESTIMATION OF SPILLWAY AERATORS. IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), 38(3), 51-61. SID. https://sid.ir/paper/217086/en

Vancouver: Copy

MAHDAVI MEYMAND A., AHADIYAN J.. EVALUATION OF STATISTICAL, EMPIRICAL, NEURAL NETWORKS AND NEURAL – FUZZY TECHNIQUES FOR ESTIMATION OF SPILLWAY AERATORS. IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE)[Internet]. 2015;38(3):51-61. Available from: https://sid.ir/paper/217086/en

IEEE: Copy

A. MAHDAVI MEYMAND, and J. AHADIYAN, “EVALUATION OF STATISTICAL, EMPIRICAL, NEURAL NETWORKS AND NEURAL – FUZZY TECHNIQUES FOR ESTIMATION OF SPILLWAY AERATORS,” IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), vol. 38, no. 3, pp. 51–61, 2015, [Online]. Available: https://sid.ir/paper/217086/en

Related Journal Papers