2-D FORWARD MODELING OF NEAR SURFACE GRAVITY ANOMALY BY USING OF FORCED NEURAL NETWORKS METHOD

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.

ABEDI MEYSAM; AFSHAR AHMAD; EBRAHIMZADEH ARDESTANI VAHID; NOROUZI GHOLAM HOSSAIN; LUCAS CARO

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

Journal Paper

Paper Information

Journal: JOURNAL OF THE EARTH Year:2012 | Volume:7 | Issue:23 Page(s): 113-124

Download Full-Text

Persian Verion

View:

920

Download:

Cites:

Information Journal Paper

Title

2-D FORWARD MODELING OF NEAR SURFACE GRAVITY ANOMALY BY USING OF FORCED NEURAL NETWORKS METHOD

Author(s)

Keywords

FORCED NEURAL NETWORKSQ2

GRAVITY ANOMALYQ2

MODELINGQ2

SYNTHETIC MODELQ2

Abstract

In this paper, we use a new method called FORCED NEURAL NETWORKS (FNN) to find the parameters of buried deposit in geophysical section respect to GRAVITY ANOMALY assuming the prismatic model. The aim of the geological MODELING is to find the shape and location of underground structures in 2-D cross section. Here, one neuron network and back propagation algoritm are applied to fined out the density difference. The method is used for noise-free and noise-corruption synthetic data, and then the Dehloran bitumen field map in Iran is chosen as a real data.

Cites

No record.

References

No record.

Cite

APA: Copy

ABEDI, MEYSAM, AFSHAR, AHMAD, EBRAHIMZADEH ARDESTANI, VAHID, NOROUZI, GHOLAM HOSSAIN, & LUCAS, CARO. (2012). 2-D FORWARD MODELING OF NEAR SURFACE GRAVITY ANOMALY BY USING OF FORCED NEURAL NETWORKS METHOD. JOURNAL OF THE EARTH, 7(23), 113-124. SID. https://sid.ir/paper/193061/en

Vancouver: Copy

ABEDI MEYSAM, AFSHAR AHMAD, EBRAHIMZADEH ARDESTANI VAHID, NOROUZI GHOLAM HOSSAIN, LUCAS CARO. 2-D FORWARD MODELING OF NEAR SURFACE GRAVITY ANOMALY BY USING OF FORCED NEURAL NETWORKS METHOD. JOURNAL OF THE EARTH[Internet]. 2012;7(23):113-124. Available from: https://sid.ir/paper/193061/en

IEEE: Copy

MEYSAM ABEDI, AHMAD AFSHAR, VAHID EBRAHIMZADEH ARDESTANI, GHOLAM HOSSAIN NOROUZI, and CARO LUCAS, “2-D FORWARD MODELING OF NEAR SURFACE GRAVITY ANOMALY BY USING OF FORCED NEURAL NETWORKS METHOD,” JOURNAL OF THE EARTH, vol. 7, no. 23, pp. 113–124, 2012, [Online]. Available: https://sid.ir/paper/193061/en

Related Journal Papers