REGRESSION ANALYSIS, GENETIC PROGRAMMING AND ANN TO PREDICT DISCHARGE COEFFICIENT OF COMPOUND BROAD CRESTED WEIR

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.

MASOODI A.; PARSAMEHR P.; SALMASI F.; PURESKANDAR S.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Year:2012 | Volume:26 | Issue:4 Page(s): 933-942

Download Full-Text

Persian Verion

View:

1,597

Download:

Cites:

Information Journal Paper

Title

REGRESSION ANALYSIS, GENETIC PROGRAMMING AND ANN TO PREDICT DISCHARGE COEFFICIENT OF COMPOUND BROAD CRESTED WEIR

Author(s)

MASOODI A. | PARSAMEHR P. | SALMASI F. | PURESKANDAR S. | Issue Writer Certificate

Keywords

COMPOUND BROAD-CRESTED WEIRQ2

DISCHARGE COEFFICIENTQ2

INTELLIGENT ARTIFICIALQ1

Abstract

COMPOUND BROAD-CRESTED WEIR, have a small inner rectangular section for measuring low flows and then, they broaden to a wide rectangular section at higher flow depths. This paper presents data that will be of use in the design of hydraulic structures for flow control and measurement. A series of laboratory experiments was performed in order to investigate the effects of length of the lower weir crest and step height of broad-crested weirs of rectangular compound cross section on the values of the DISCHARGE COEFFICIENT. For this purpose, 15 different broad-crested weir models with rectangular compound cross sections for a wide range of discharges tested. Multiple regression equations based on dimensional analysis theory were developed for computing DISCHARGE COEFFICIENT. The results of COMPOUND BROAD-CRESTED WEIRs were compared with Genetic programming (GP) and Artificial neural network (ANN) and it was found that the ANN formulation of the problem of solving for the DISCHARGE COEFFICIENT is less successful than that by GP. The implementation of GP offers another formulation for DISCHARGE COEFFICIENT.

Cites

No record.

References

Cite

APA: Copy

MASOODI, A., PARSAMEHR, P., SALMASI, F., & PURESKANDAR, S.. (2012). REGRESSION ANALYSIS, GENETIC PROGRAMMING AND ANN TO PREDICT DISCHARGE COEFFICIENT OF COMPOUND BROAD CRESTED WEIR. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 26(4), 933-942. SID. https://sid.ir/paper/141858/en

Vancouver: Copy

MASOODI A., PARSAMEHR P., SALMASI F., PURESKANDAR S.. REGRESSION ANALYSIS, GENETIC PROGRAMMING AND ANN TO PREDICT DISCHARGE COEFFICIENT OF COMPOUND BROAD CRESTED WEIR. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2012;26(4):933-942. Available from: https://sid.ir/paper/141858/en

IEEE: Copy

A. MASOODI, P. PARSAMEHR, F. SALMASI, and S. PURESKANDAR, “REGRESSION ANALYSIS, GENETIC PROGRAMMING AND ANN TO PREDICT DISCHARGE COEFFICIENT OF COMPOUND BROAD CRESTED WEIR,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 26, no. 4, pp. 933–942, 2012, [Online]. Available: https://sid.ir/paper/141858/en

Related Journal Papers