MODELLING AND PREDICTION OF PROCESS PARAMETERS IN EXPLOSIVE WELDING OF PLATES USING GMDH-TYPE NEURAL NETWORK AND SINGULAR VALUE DECOMPOSITION

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.

NARIMANZADEH N.; DARVIZEH A.; GHARABABAEI H.

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING Year:2003 | Volume:27 | Issue:B3 Page(s): 551-562

Download Full-Text

View:

281

Download:

Cites:

Information Journal Paper

Title

MODELLING AND PREDICTION OF PROCESS PARAMETERS IN EXPLOSIVE WELDING OF PLATES USING GMDH-TYPE NEURAL NETWORK AND SINGULAR VALUE DECOMPOSITION

Author(s)

NARIMANZADEH N. | DARVIZEH A. | GHARABABAEI H.

Keywords

GMDH

EXPLOSIVE WELDING PROCESS

SVD

Abstract

GMDH-type neural networks are used for the modelling of explosive welding
process of plates. The aim of such modelling is to show how the geometric characteristics of
the bonding interface such as amplitude and wave length change with the variation of
important parameters involved in the explosive welding of plates, namely, standoff distance,
mass of the explosive per unit weight of flyer plate, flyer plate thickness, and parent plate
thickness. It is also demonstrated that Singular Value Decomposition (SVD) can be
effectively used to find the vector of coefficients of quadratic sub-expressions embodied in
such GMDH-type networks. Such application of SVD will highly improve the performance
of GMDH-type networks to model the very complex process of explosive welding of plates.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

NARIMANZADEH, N., DARVIZEH, A., & GHARABABAEI, H.. (2003). MODELLING AND PREDICTION OF PROCESS PARAMETERS IN EXPLOSIVE WELDING OF PLATES USING GMDH-TYPE NEURAL NETWORK AND SINGULAR VALUE DECOMPOSITION. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 27(B3), 551-562. SID. https://sid.ir/paper/527739/en

Vancouver: Copy

NARIMANZADEH N., DARVIZEH A., GHARABABAEI H.. MODELLING AND PREDICTION OF PROCESS PARAMETERS IN EXPLOSIVE WELDING OF PLATES USING GMDH-TYPE NEURAL NETWORK AND SINGULAR VALUE DECOMPOSITION. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2003;27(B3):551-562. Available from: https://sid.ir/paper/527739/en

IEEE: Copy

N. NARIMANZADEH, A. DARVIZEH, and H. GHARABABAEI, “MODELLING AND PREDICTION OF PROCESS PARAMETERS IN EXPLOSIVE WELDING OF PLATES USING GMDH-TYPE NEURAL NETWORK AND SINGULAR VALUE DECOMPOSITION,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 27, no. B3, pp. 551–562, 2003, [Online]. Available: https://sid.ir/paper/527739/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops